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• GWTC-5.0: Parameter estimation data release (Part 2 of 2)
  This material is part of several data products associated with GWTC-5.0, the fifth Gravitational-Wave Transient Catalog from the LIGO Scientific Collaboration, the Virgo Collaboration, and the KAGRA Collaboration. For more information, see the results paper (h…
  datacite LIGO Scientific Collaboration and Virgo Collaboration and KAGRA Collaboration 2026 置信度 0.66
• GWTC-5.0: Parameter estimation data release (Part 1 of 2)
  This material is part of several data products associated with GWTC-5.0, the fifth Gravitational-Wave Transient Catalog from the LIGO Scientific Collaboration, the Virgo Collaboration, and the KAGRA Collaboration. For more information, see the results paper (h…
  datacite LIGO Scientific Collaboration and Virgo Collaboration and KAGRA Collaboration 2026 置信度 0.66
• GWTC-5.0: Parameter estimation data release (Part 1 of 2)
  This material is part of several data products associated with GWTC-5.0, the fifth Gravitational-Wave Transient Catalog from the LIGO Scientific Collaboration, the Virgo Collaboration, and the KAGRA Collaboration. For more information, see the results paper (h…
  datacite LIGO Scientific Collaboration and Virgo Collaboration and KAGRA Collaboration 2026 置信度 0.66
• GWTC-5.0: Candidate data release
  This material is part of several data products associated with GWTC-5.0, the fifth Gravitational-Wave Transient Catalog from the LIGO Scientific Collaboration, the Virgo Collaboration, and the KAGRA Collaboration. For more information, see the results paper (h…
  datacite LIGO Scientific Collaboration and Virgo Collaboration and KAGRA Collaboration 2026 置信度 0.66
• GWTC-5.0: Candidate data release
  This material is part of several data products associated with GWTC-5.0, the fifth Gravitational-Wave Transient Catalog from the LIGO Scientific Collaboration, the Virgo Collaboration, and the KAGRA Collaboration. For more information, see the results paper (h…
  datacite LIGO Scientific Collaboration and Virgo Collaboration and KAGRA Collaboration 2026 置信度 0.66
• Classical non-commutativity of length and proper-time observables for arbitrary inertial observers in ADM gravity
  What happens when two observers moving at different speeds try to measure the same length, or the same interval of time, in a universe where spacetime itself can fluctuate? This paper shows, through a rigorous calculation within standard general relativity, th…
  datacite De Giuseppe, Alex 2026 置信度 0.66 General RelativityADM formalismPoisson bracketNon-commutative GeometryLength Observable
• The Computational Substrate: Constraint, Folding, and the Query Geometry of a Self-Computing Reality
  The Computational Substrate: Constraint, Folding, and the Query Geometry of a Self-Computing Reality A Synthesis with SHA-256 and BBP as Partial Rosetta Stone Driven By Dean A. Kulik June 2026 Abstract This paper sets out a single thesis and follows it as far …
  datacite kulik, dean 2026 置信度 0.66
• The Nature of Reality: The Quantum Narrative Matrix Hypothesis
  Addressing Eugene Wigner’s puzzle of the “Unreasonable Effectiveness of Mathematics,” this paper proposes the Quantum Narrative Matrix (QNM)—a framework that transforms mathematical ontology from a metaphysical concept into a rigorous, computable physical theo…
  datacite MA, NANJIE 2026 置信度 0.66 Quantum Narrative MatrixOmnidimensional ProjectionCoupled Three-Mechanism FrameworkIterativeGenerationlopological Constraint
• The Nature of Reality: The Quantum Narrative Matrix Hypothesis
  Addressing Eugene Wigner’s puzzle of the “Unreasonable Effectiveness of Mathematics,” this paper proposes the Quantum Narrative Matrix (QNM)—a framework that transforms mathematical ontology from a metaphysical concept into a rigorous, computable physical theo…
  datacite MA, NANJIE 2026 置信度 0.66 Quantum Narrative MatrixOmnidimensional ProjectionCoupled Three-Mechanism FrameworkIterativeGenerationlopological Constraint
• The Nature of Reality: The Quantum Narrative Matrix Hypothesis
  Addressing Eugene Wigner’s puzzle of the “Unreasonable Effectiveness of Mathematics,” this paper proposes the Quantum Narrative Matrix (QNM)—a framework that transforms mathematical ontology from a metaphysical concept into a rigorous, computable physical theo…
  datacite MA, NANJIE 2026 置信度 0.66 Quantum Narrative MatrixOmnidimensional ProjectionCoupled Three-Mechanism FrameworkIterativeGenerationlopological Constraint
• Classical non-commutativity of length and proper-time observables for arbitrary inertial observers in ADM gravity
  What happens when two observers moving at different speeds try to measure the same length, or the same interval of time, in a universe where spacetime itself can fluctuate? This paper shows, through a rigorous calculation within standard general relativity, th…
  datacite De Giuseppe, Alex 2026 置信度 0.66 General RelativityADM formalismPoisson bracketNon-commutative GeometryLength Observable
• Kozyrev's Active Time Reinterpreted Through the Zero‑Entropy Background Topological Structure (ZEBTS): The First Rigorous Ontological Reconstruction
  Abstract N. A. Kozyrev proposed one of the most unconventional hypotheses in 20th‑century physics: the idea that time is an active physical entity capable of exerting influence on material systems, transferring energy, and generating directed effects in non‑eq…
  datacite Mukha, Anatolii 2026 置信度 0.66
• Kozyrev's Active Time Reinterpreted Through the Zero‑Entropy Background Topological Structure (ZEBTS): The First Rigorous Ontological Reconstruction
  Abstract N. A. Kozyrev proposed one of the most unconventional hypotheses in 20th‑century physics: the idea that time is an active physical entity capable of exerting influence on material systems, transferring energy, and generating directed effects in non‑eq…
  datacite Mukha, Anatolii 2026 置信度 0.66
• Electromagnetic Aerospace Flux Manipulator (EAFM)
  VAAF-EAFM (Vacuum-Adapted Axisymmetric Focusing Electromagnetic Aerospace Flux Manipulator), an advanced propulsion and active shielding architecture engineered for deep space exploration. By integrating the quantum ferromagnetism of a Permendur core with macr…
  datacite Wiwin Wijaya 2026 置信度 0.66 Structures and MaterialsAstrophysics and AstronomyCondensed Matter PhysicsFOS: Physical sciencesPlasma and Beam Physics
• Black holes are not flat or spherical discs. Rather, they possess the geometry of a deep, vortical, and rotational gravitational cone. The luminous doughnut is merely the entrance throat of an extremal-dimensional fractal cone. (3).
  ورود به «لایه ۶: سیگنچرِ قطبشِ مارپیچی» (Signature of Spiral Polarization)؛ جایی که دیگر فقط با «شکلِ هندسی» سر و کار نداریم، بلکه با «جهت‌گیریِ فوتونی» (Photon Orientation) به عنوان کدهایِ تانسوری روبرو هستیم. این لایه، تیرِ خلاصِ مدلِ تخت است؛ زیرا قطبشِ B-m…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• Deterministic Quantum Gravity from Compression Geometry: Why Gravity Does Not Require Primitive Multidimensionality
  Deterministic Quantum Gravity from Compression Geometry: Why Gravity Does Not Require Primitive Multidimensionality presents a full paper-facing derivation of Deterministic Quantum Gravity (DQG) as an Einstein-extension of Entanglement Compression Theory (ECT)…
  datacite Lawrence, William Andrew 2026 置信度 0.66 Entanglement Compression Theory (ECT)Compression GeometryCompression Tensor (Cμν)Deterministic quantum gravitySpacetime curvature
• The Nature of Reality: The Quantum Narrative Matrix Hypothesis
  Addressing Eugene Wigner’s puzzle of the “Unreasonable Effectiveness of Mathematics,” this paper proposes the Quantum Narrative Matrix (QNM)—a framework that transforms mathematical ontology from a metaphysical concept into a rigorous, computable physical theo…
  datacite MA, NANJIE 2026 置信度 0.66 Quantum Narrative MatrixOmnidimensional ProjectionCoupled Three-Mechanism FrameworkIterativeGenerationlopological Constraint
• Electromagnetic Aerospace Flux Manipulator (EAFM)
  VAAF-EAFM (Vacuum-Adapted Axisymmetric Focusing Electromagnetic Aerospace Flux Manipulator), an advanced propulsion and active shielding architecture engineered for deep space exploration. By integrating the quantum ferromagnetism of a Permendur core with macr…
  datacite Wiwin Wijaya 2026 置信度 0.66 Structures and MaterialsAstrophysics and AstronomyCondensed Matter PhysicsFOS: Physical sciencesPlasma and Beam Physics
• The Nature of Reality: The Quantum Narrative Matrix Hypothesis
  Addressing Eugene Wigner’s puzzle of the “Unreasonable Effectiveness of Mathematics,” this paper proposes the Quantum Narrative Matrix (QNM)—a framework that transforms mathematical ontology from a metaphysical concept into a rigorous, computable physical theo…
  datacite MA, NANJIE 2026 置信度 0.66 Quantum Narrative MatrixOmnidimensional ProjectionCoupled Three-Mechanism FrameworkIterativeGenerationlopological Constraint
• Admissibility and the Well-Definedness of Yang–Mills Endpoint Constructions
  This record deposits the referee-hardened manuscript package for Admissibility and the Well-Definedness of Yang–Mills Endpoint Constructions, a completion-control and endpoint-well-definedness manuscript for the Yang–Mills Clay Millennium Prize Problem. The ma…
  datacite Maley, Amos Jay 2026 置信度 0.66 Yang–Mills theorymass gapquantum field theoryHaag–Kastler netalgebraic QFT
• Unified Architectural Overview: Bio-Quantum LEO Payload Architecture for Leapfrog Space-Ground Telecommunications and the Genesis Mission 2026
  This overview manuscript presents a unified architectural framework for an autonomous Low Earth Orbit (LEO) bio-quantum payload designed to enable leapfrog space-ground telecommunications. The architecture integrates three tightly coupled layers: (1) unitary q…
  datacite Venerable, Denise, xAI, Grok, Google, Gemini 2026 置信度 0.66 bio-quantum payload, LEO architecture, quantum teleportation, xeno-nucleic acid, TNA/PNA, OAM-plasma shielding, atomic oxygen mitigation, thermodynamic management, NPAP, Extanton swarm, Genesis Mission 2026, fractal safety, deep-space autonomy, cislunar operations
• Unified Architectural Overview: Bio-Quantum LEO Payload Architecture for Leapfrog Space-Ground Telecommunications and the Genesis Mission 2026
  This overview manuscript presents a unified architectural framework for an autonomous Low Earth Orbit (LEO) bio-quantum payload designed to enable leapfrog space-ground telecommunications. The architecture integrates three tightly coupled layers: (1) unitary q…
  datacite Venerable, Denise, xAI, Grok, Google, Gemini 2026 置信度 0.66 bio-quantum payload, LEO architecture, quantum teleportation, xeno-nucleic acid, TNA/PNA, OAM-plasma shielding, atomic oxygen mitigation, thermodynamic management, NPAP, Extanton swarm, Genesis Mission 2026, fractal safety, deep-space autonomy, cislunar operations
• THE Sigma-PDE MODEL (Σ-PDE): THE DUAL ONTOLOGY OF REALITY
  Pressure, Density, and the Relational Nature of Space-Time The Complete First-Principles Derivation of Universal Constants with Zero Free Parameters Author: Ilie Barbu Independent Researcher, Pitești, Argeș, Romania 12 / 06 / 2026 ABSTRACT The present work pro…
  datacite Barbu, Ilie 2026 置信度 0.66
• THE Sigma-PDE MODEL (Σ-PDE): THE DUAL ONTOLOGY OF REALITY
  Pressure, Density, and the Relational Nature of Space-Time The Complete First-Principles Derivation of Universal Constants with Zero Free Parameters Author: Ilie Barbu Independent Researcher, Pitești, Argeș, Romania 12 / 06 / 2026 ABSTRACT The present work pro…
  datacite Barbu, Ilie 2026 置信度 0.66
• The Quantum Citadel for AI: A Theoretical Framework for Near-Absolute Security Against Cyber Intrusion Author: Dr. Mohamed Kamal Arafa Elrakhawi Affiliation: Researcher, Consultant, Jurist, Author, and International Lecturer in Law; Researcher in Algorithmic Sciences and Legal Artificial Intelligence. Date of Publication: June 2026 Document Identifier (DOI): 10.5281/zenodo.20666248 ABSTRACT In the face of escalating advanced cyber threats and satellite-based attacks, traditional software security has become insufficient for protecting sensitive superintelligent AI systems. This foundational paper introduces the Quantum Citadel for AI (QC-AI), a comprehensive physical framework that provides near-absolute protection for critical AI systems by integrating seven security layers based on the laws of physics rather than software alone. The system combines absolute physical isolation, quantum Faraday cages, isolated quantum computing, unidirectional optical data diodes, quantum self-destruct protocols, side-channel intrusion detection, and quantum-resistant cryptography. This paper presents the theoretical physical foundations governing each layer, theoretically proving the impossibility of remote intrusion under known physical constraints. This work represents a paradigm shift from software security to physical-quantum security, establishing a new field: Physical-Quantum Cybersecurity. The complete technical specifications and implementation protocols remain proprietary and are available only through direct consultation with the author. Keywords: Quantum Citadel, Superintelligent AI, Physical-Quantum Security, Absolute Physical Isolation, Isolated Quantum Computing, Quantum-Resistant Cryptography. 1. INTRODUCTION Current cyber systems rely on mathematical assumptions about the difficulty of solving certain problems (such as factoring large prime numbers), assumptions that are threatened by the emergence of quantum computing. Moreover, any system connected to a network, even indirectly, remains vulnerable to side-channel attacks, data leakage through electromagnetic emissions, and advanced satellite attacks. This paper poses a fundamental question: Can we build a superintelligent AI system that is protected in a near-absolute manner using the laws of physics themselves? The answer we provide is the Quantum Citadel model, a system based on the principle that true security is not built on computational assumptions, but on physical laws that cannot be violated. This work aims to present a comprehensive theoretical framework that can be adopted as a basis for protecting critical infrastructure, military systems, and sovereign data in the age of superintelligent AI. 1.1 Research Objectives The first objective: To theoretically prove that physical-quantum security surpasses traditional software security. The second objective: To establish the physical foundations governing each of the seven layers. The third objective: To design an integrated system architecture concept. The fourth objective: To establish the conceptual framework for operational protocols. The fifth objective: To establish a new scientific field: Physical-Quantum Cybersecurity. 1.2 Research Methodology The research relies on an interdisciplinary methodology combining: - Quantum physics (quantum mechanics, thermodynamics) - Cybersecurity (side-channel analysis, cryptography) - Electronic engineering (Faraday cages, optical diodes) - Artificial intelligence (anomaly detection, neural networks) 2. THEORETICAL FRAMEWORK: THE PHYSICS OF NEAR-ABSOLUTE SECURITY The Quantum Citadel is based on four fundamental physical postulates: Postulate 1: Heisenberg's Uncertainty Principle A quantum state cannot be measured without changing it, making any attempt to eavesdrop on quantum data immediately detectable. Mathematically: Delta_x * Delta_p >= hbar / 2 Where Delta_x is the uncertainty in position, Delta_p is the uncertainty in momentum, and hbar is the reduced Planck constant. Postulate 2: The Law of Conservation of Energy Any intrusion process requires energy that can be measured, making physical attacks detectable. The energy required for intrusion is calculated by the equation: E_attack = Integral from t0 to t1 of P(t) dt Where P(t) is the power consumed in the attack over time. Postulate 3: The Principle of Electromagnetic Isolation Electromagnetic radiation can be physically blocked entirely under specific conditions. The electric field intensity inside the cage is calculated by the equation: E_internal = E_external * exp(-t / delta) Where t is the material thickness, and delta is the skin depth. Postulate 4: Quantum Information Theory Quantum information cannot be cloned (No-Cloning Theorem), making the theft of quantum data impossible without destroying it. Mathematically: There is no unitary operation U that satisfies: U(|psi> tensor |0>) = |psi> tensor |psi> For any unknown quantum state |psi>. 3. THE SEVEN LAYERS OF THE QUANTUM CITADEL 3.1 Layer 1: Absolute Physical Air-Gap The system operates in a complete physical Air-Gap state, containing no wireless or wired communication interfaces that can be connected to external networks. The fundamental principle is that the sum of all potential interfaces must equal zero. Any non-zero value immediately activates the self-destruct protocol. The specific verification methodology and thresholds are proprietary. 3.2 Layer 2: Quantum Faraday Cage The system is enclosed within a multi-layered Faraday cage that achieves electromagnetic attenuation exceeding a specific threshold across the frequency spectrum. The fundamental equation for cage effectiveness is: SE(dB) = 20 * log10(E_incident / E_transmitted) The specific material composition, layer thicknesses, and attenuation thresholds are proprietary and represent a key innovation of this framework. 3.3 Layer 3: Isolated Quantum Computing Core The quantum processor operates at ultra-low temperature in a high-vacuum environment. The fundamental equation for qubit state (Schrödinger equation) is: i * hbar * partial(Psi)/partial(t) = H * Psi The specific operating parameters, coherence requirements, and error correction protocols are proprietary. 3.4 Layer 4: Unidirectional Optical Data Diode Data is transferred via an optical Data Diode that achieves one-way transfer only according to physical law. The fundamental equation for data flow is: Data_Flow = Integral from t0 to t1 (Input_Signal) dt Output_Signal = 0 (physically impossible) The specific optical design and isolation specifications are proprietary. 3.5 Layer 5: Quantum Self-Destruct Protocol When any physical tampering attempt is detected, the destruction protocol is activated within a specific time threshold. The fundamental principle is that all qubits are rewritten to a random state, maximizing entropy. The specific trigger conditions, response times, and destruction mechanisms are proprietary. 3.6 Layer 6: Side-Channel Intrusion Detection The system continuously monitors four side channels: electromagnetic emissions, thermal patterns, acoustic vibrations, and power consumption. The fundamental equation for anomaly detection is: Anomaly_Score = Neural_Network(EM, Thermal, Acoustic, Power) The specific neural network architecture, training data, and detection thresholds are proprietary. 3.7 Layer 7: Quantum-Resistant Cryptography All internal data is encrypted using NIST-approved Post-Quantum Cryptography algorithms, with key distribution via quantum protocols. The fundamental equation for QKD security is: Key_Rate >= Detection_Rate - Error_Rate - Privacy_Amplification The specific implementation details and security parameters are proprietary. 4. INTEGRATED SYSTEM ARCHITECTURE The Quantum Citadel consists of five main units: - Unit 1: Isolated Quantum Computing Unit - Unit 2: Secure Optical Input Unit - Unit 3: Comprehensive Physical Monitoring Unit - Unit 4: Emergency Response Unit - Unit 5: Isolated User Interface The specific technical specifications, inter-unit communication protocols, and integration mechanisms are proprietary and represent the core innovation of this framework. 5. OPERATIONAL PROTOCOLS The framework establishes four fundamental operational protocols: - Protocol 1: Physical Isolation Verification - Protocol 2: Side-Channel Monitoring - Protocol 3: Quantum Key Update - Protocol 4: Physical Audit The detailed procedures, authorization requirements, and verification methodologies are proprietary. 6. MATHEMATICAL SECURITY ANALYSIS The comprehensive security analysis demonstrates that the probability of successful intrusion is physically negligible. The mathematical proof relies on the multiplicative effect of the seven layers: P(total_breach) = P(layer1) * P(layer2) * P(layer3) * P(layer4) * P(layer5) * P(layer6) * P(layer7) The specific probability calculations and security margins are proprietary. 7. CONTROLS AND CHALLENGES 7.1 Challenge 1: High Cost The implementation requires significant investment in quantum computing infrastructure, ultra-cooling systems, and specialized materials. 7.2 Challenge 2: Need for an Interdisciplinary Team Successful implementation requires expertise in quantum physics, cybersecurity, electronic engineering, optics, artificial intelligence, and cryptography. 7.3 Challenge 3: Maintenance Difficulty The system requires specialized maintenance procedures and trained personnel. 7.4 Challenge 4: Balancing Security and Usability The framework must balance absolute security with practical usability for authorized users. 8. PRACTICAL APPLICATIONS 8.1 Central Banks Protecting cash reserves and financial systems from advanced cyber threats. 8.2 Military and Defense Protecting command and control systems from electronic warfare and satellite-based attacks. 8.3 Critical Infrastructure Protecting electricity, water, and transportation networks from terrorist attacks. 8.4 Healthcare Protecting national genome data and sensitive medical information. 8.5 Space Protecting satellite systems and space assets from cyber intrusion. 9. CONCLUSION AND FUTURE DIRECTIONS The Quantum Citadel for AI presents a comprehensive physical framework that provides an unprecedented level of security for critical superintelligent AI systems. By leveraging fundamental laws of physics rather than computational assumptions, the system achieves near-absolute protection against all known forms of cyber intrusion, including advanced satellite attacks. 9.1 Main Achievements 1. Theoretical proof that physical security surpasses software security 2. Establishment of physical foundations for each layer 3. Design of an integrated system architecture concept 4. Establishment of the conceptual framework for operational protocols 5. Founding the field of physical-quantum cybersecurity 9.2 Future Steps 1. Building a practical prototype (requires proprietary technical specifications) 2. Conducting comprehensive penetration testing 3. Obtaining international security certifications 4. Developing international standards 5. Commercial deployment of the system 9.3 Expected Impact - Protecting critical infrastructure - Preventing major cyber attacks - Establishing a new standard for cybersecurity - Opening new avenues for scientific research 10. REFERENCES 1. Bennett, C. H., & Brassard, G. (2014). Quantum cryptography: Public key distribution and coin tossing. Theoretical Computer Science, 560, 7-11. 2. Gisin, N., Ribordy, G., Tittel, W., & Zbinden, H. (2002). Quantum cryptography. Reviews of Modern Physics, 74(1), 145-195. 3. Arute, F., Arya, K., Babbush, R., Bacon, D., Bardin, J. C., Barends, R., ... & Martinis, J. M. (2019). Quantum supremacy using a programmable superconducting processor. Nature, 574(7779), 505-510. 4. National Institute of Standards and Technology. (2022). Post-Quantum Cryptography Standardization. NIST IR 8447. 5. Kocher, P., Jaffe, J., & Jun, B. (1999). Differential power analysis. In Advances in Cryptology—CRYPTO'99 (pp. 388-397). Springer. 6. Anderson, R. J. (2020). Security Engineering: A Guide to Building Dependable Distributed Systems (3rd ed.). Wiley. 7. Preskill, J. (2018). Quantum Computing in the NISQ era and beyond. Quantum, 2, 79. 8. Shor, P. W. (1997). Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer. SIAM Journal on Computing, 26(5), 1484-1509. 9. Elrakhawi, M. K. A. (2026). Towards Neuro-Legal Metrology: The Legal Cognitive Fingerprint Protocol for Quantifying Criminal Intent. Zenodo. https://doi.org/10.5281/zenodo.20665078 10. Elrakhawi, M. K. A. (2026). Quantum Predictive Justice: A Mathematical Framework for Predicting Crimes Before Cognitive Collapse. Zenodo. https://doi.org/10.5281/zenodo.20665925 11. Ott, D., & Heintze, N. (2014). Securing unidirectional network device traffic. IEEE Security & Privacy, 12(5), 87-91. 12. Pirandola, S., Andersen, U. L., Banchi, L., Berta, M., Bunandar, D., Colbeck, R., ... & Wallden, P. (2020). Advances in quantum cryptography. Advances in Optics and Photonics, 12(4), 1012-1236. 13. Nielsen, M. A., & Chuang, I. L. (2010). Quantum Computation and Quantum Information. Cambridge University Press. 14. Schneier, B. (2015). Secrets and Lies: Digital Security in a Networked World. Wiley. 15. Stallings, W. (2020). Cryptography and Network Security: Principles and Practice (8th ed.). Pearson. --- CONTACT INFORMATION For technical consultations, licensing opportunities, or access to proprietary implementation details, please contact: Dr. Mohamed Kamal Arafa Elrakhawi Email: elrakhawimohame@gmail.com Note: The complete technical specifications, implementation protocols, and proprietary equations governing the Quantum Citadel framework are available exclusively through direct consultation with the author. This paper presents only the theoretical framework and does not disclose the specific technical details necessary for implementation.
  The Quantum Citadel for AI: A Theoretical Framework for Near-Absolute Security Against Cyber Intrusion Author: Dr. Mohamed Kamal Arafa ElrakhawiAffiliation: Researcher, Consultant, Jurist, Author, and International Lecturer in Law; Researcher in Algorithmic Sc…
  datacite elrakhawi, mohamed kamal arafa 2026 置信度 0.66
• The Quantum Citadel for AI: A Theoretical Framework for Near-Absolute Security Against Cyber Intrusion Author: Dr. Mohamed Kamal Arafa Elrakhawi Affiliation: Researcher, Consultant, Jurist, Author, and International Lecturer in Law; Researcher in Algorithmic Sciences and Legal Artificial Intelligence. Date of Publication: June 2026 Document Identifier (DOI): 10.5281/zenodo.20666248 ABSTRACT In the face of escalating advanced cyber threats and satellite-based attacks, traditional software security has become insufficient for protecting sensitive superintelligent AI systems. This foundational paper introduces the Quantum Citadel for AI (QC-AI), a comprehensive physical framework that provides near-absolute protection for critical AI systems by integrating seven security layers based on the laws of physics rather than software alone. The system combines absolute physical isolation, quantum Faraday cages, isolated quantum computing, unidirectional optical data diodes, quantum self-destruct protocols, side-channel intrusion detection, and quantum-resistant cryptography. This paper presents the theoretical physical foundations governing each layer, theoretically proving the impossibility of remote intrusion under known physical constraints. This work represents a paradigm shift from software security to physical-quantum security, establishing a new field: Physical-Quantum Cybersecurity. The complete technical specifications and implementation protocols remain proprietary and are available only through direct consultation with the author. Keywords: Quantum Citadel, Superintelligent AI, Physical-Quantum Security, Absolute Physical Isolation, Isolated Quantum Computing, Quantum-Resistant Cryptography. 1. INTRODUCTION Current cyber systems rely on mathematical assumptions about the difficulty of solving certain problems (such as factoring large prime numbers), assumptions that are threatened by the emergence of quantum computing. Moreover, any system connected to a network, even indirectly, remains vulnerable to side-channel attacks, data leakage through electromagnetic emissions, and advanced satellite attacks. This paper poses a fundamental question: Can we build a superintelligent AI system that is protected in a near-absolute manner using the laws of physics themselves? The answer we provide is the Quantum Citadel model, a system based on the principle that true security is not built on computational assumptions, but on physical laws that cannot be violated. This work aims to present a comprehensive theoretical framework that can be adopted as a basis for protecting critical infrastructure, military systems, and sovereign data in the age of superintelligent AI. 1.1 Research Objectives The first objective: To theoretically prove that physical-quantum security surpasses traditional software security. The second objective: To establish the physical foundations governing each of the seven layers. The third objective: To design an integrated system architecture concept. The fourth objective: To establish the conceptual framework for operational protocols. The fifth objective: To establish a new scientific field: Physical-Quantum Cybersecurity. 1.2 Research Methodology The research relies on an interdisciplinary methodology combining: - Quantum physics (quantum mechanics, thermodynamics) - Cybersecurity (side-channel analysis, cryptography) - Electronic engineering (Faraday cages, optical diodes) - Artificial intelligence (anomaly detection, neural networks) 2. THEORETICAL FRAMEWORK: THE PHYSICS OF NEAR-ABSOLUTE SECURITY The Quantum Citadel is based on four fundamental physical postulates: Postulate 1: Heisenberg's Uncertainty Principle A quantum state cannot be measured without changing it, making any attempt to eavesdrop on quantum data immediately detectable. Mathematically: Delta_x * Delta_p >= hbar / 2 Where Delta_x is the uncertainty in position, Delta_p is the uncertainty in momentum, and hbar is the reduced Planck constant. Postulate 2: The Law of Conservation of Energy Any intrusion process requires energy that can be measured, making physical attacks detectable. The energy required for intrusion is calculated by the equation: E_attack = Integral from t0 to t1 of P(t) dt Where P(t) is the power consumed in the attack over time. Postulate 3: The Principle of Electromagnetic Isolation Electromagnetic radiation can be physically blocked entirely under specific conditions. The electric field intensity inside the cage is calculated by the equation: E_internal = E_external * exp(-t / delta) Where t is the material thickness, and delta is the skin depth. Postulate 4: Quantum Information Theory Quantum information cannot be cloned (No-Cloning Theorem), making the theft of quantum data impossible without destroying it. Mathematically: There is no unitary operation U that satisfies: U(|psi> tensor |0>) = |psi> tensor |psi> For any unknown quantum state |psi>. 3. THE SEVEN LAYERS OF THE QUANTUM CITADEL 3.1 Layer 1: Absolute Physical Air-Gap The system operates in a complete physical Air-Gap state, containing no wireless or wired communication interfaces that can be connected to external networks. The fundamental principle is that the sum of all potential interfaces must equal zero. Any non-zero value immediately activates the self-destruct protocol. The specific verification methodology and thresholds are proprietary. 3.2 Layer 2: Quantum Faraday Cage The system is enclosed within a multi-layered Faraday cage that achieves electromagnetic attenuation exceeding a specific threshold across the frequency spectrum. The fundamental equation for cage effectiveness is: SE(dB) = 20 * log10(E_incident / E_transmitted) The specific material composition, layer thicknesses, and attenuation thresholds are proprietary and represent a key innovation of this framework. 3.3 Layer 3: Isolated Quantum Computing Core The quantum processor operates at ultra-low temperature in a high-vacuum environment. The fundamental equation for qubit state (Schrödinger equation) is: i * hbar * partial(Psi)/partial(t) = H * Psi The specific operating parameters, coherence requirements, and error correction protocols are proprietary. 3.4 Layer 4: Unidirectional Optical Data Diode Data is transferred via an optical Data Diode that achieves one-way transfer only according to physical law. The fundamental equation for data flow is: Data_Flow = Integral from t0 to t1 (Input_Signal) dt Output_Signal = 0 (physically impossible) The specific optical design and isolation specifications are proprietary. 3.5 Layer 5: Quantum Self-Destruct Protocol When any physical tampering attempt is detected, the destruction protocol is activated within a specific time threshold. The fundamental principle is that all qubits are rewritten to a random state, maximizing entropy. The specific trigger conditions, response times, and destruction mechanisms are proprietary. 3.6 Layer 6: Side-Channel Intrusion Detection The system continuously monitors four side channels: electromagnetic emissions, thermal patterns, acoustic vibrations, and power consumption. The fundamental equation for anomaly detection is: Anomaly_Score = Neural_Network(EM, Thermal, Acoustic, Power) The specific neural network architecture, training data, and detection thresholds are proprietary. 3.7 Layer 7: Quantum-Resistant Cryptography All internal data is encrypted using NIST-approved Post-Quantum Cryptography algorithms, with key distribution via quantum protocols. The fundamental equation for QKD security is: Key_Rate >= Detection_Rate - Error_Rate - Privacy_Amplification The specific implementation details and security parameters are proprietary. 4. INTEGRATED SYSTEM ARCHITECTURE The Quantum Citadel consists of five main units: - Unit 1: Isolated Quantum Computing Unit - Unit 2: Secure Optical Input Unit - Unit 3: Comprehensive Physical Monitoring Unit - Unit 4: Emergency Response Unit - Unit 5: Isolated User Interface The specific technical specifications, inter-unit communication protocols, and integration mechanisms are proprietary and represent the core innovation of this framework. 5. OPERATIONAL PROTOCOLS The framework establishes four fundamental operational protocols: - Protocol 1: Physical Isolation Verification - Protocol 2: Side-Channel Monitoring - Protocol 3: Quantum Key Update - Protocol 4: Physical Audit The detailed procedures, authorization requirements, and verification methodologies are proprietary. 6. MATHEMATICAL SECURITY ANALYSIS The comprehensive security analysis demonstrates that the probability of successful intrusion is physically negligible. The mathematical proof relies on the multiplicative effect of the seven layers: P(total_breach) = P(layer1) * P(layer2) * P(layer3) * P(layer4) * P(layer5) * P(layer6) * P(layer7) The specific probability calculations and security margins are proprietary. 7. CONTROLS AND CHALLENGES 7.1 Challenge 1: High Cost The implementation requires significant investment in quantum computing infrastructure, ultra-cooling systems, and specialized materials. 7.2 Challenge 2: Need for an Interdisciplinary Team Successful implementation requires expertise in quantum physics, cybersecurity, electronic engineering, optics, artificial intelligence, and cryptography. 7.3 Challenge 3: Maintenance Difficulty The system requires specialized maintenance procedures and trained personnel. 7.4 Challenge 4: Balancing Security and Usability The framework must balance absolute security with practical usability for authorized users. 8. PRACTICAL APPLICATIONS 8.1 Central Banks Protecting cash reserves and financial systems from advanced cyber threats. 8.2 Military and Defense Protecting command and control systems from electronic warfare and satellite-based attacks. 8.3 Critical Infrastructure Protecting electricity, water, and transportation networks from terrorist attacks. 8.4 Healthcare Protecting national genome data and sensitive medical information. 8.5 Space Protecting satellite systems and space assets from cyber intrusion. 9. CONCLUSION AND FUTURE DIRECTIONS The Quantum Citadel for AI presents a comprehensive physical framework that provides an unprecedented level of security for critical superintelligent AI systems. By leveraging fundamental laws of physics rather than computational assumptions, the system achieves near-absolute protection against all known forms of cyber intrusion, including advanced satellite attacks. 9.1 Main Achievements 1. Theoretical proof that physical security surpasses software security 2. Establishment of physical foundations for each layer 3. Design of an integrated system architecture concept 4. Establishment of the conceptual framework for operational protocols 5. Founding the field of physical-quantum cybersecurity 9.2 Future Steps 1. Building a practical prototype (requires proprietary technical specifications) 2. Conducting comprehensive penetration testing 3. Obtaining international security certifications 4. Developing international standards 5. Commercial deployment of the system 9.3 Expected Impact - Protecting critical infrastructure - Preventing major cyber attacks - Establishing a new standard for cybersecurity - Opening new avenues for scientific research 10. REFERENCES 1. Bennett, C. H., & Brassard, G. (2014). Quantum cryptography: Public key distribution and coin tossing. Theoretical Computer Science, 560, 7-11. 2. Gisin, N., Ribordy, G., Tittel, W., & Zbinden, H. (2002). Quantum cryptography. Reviews of Modern Physics, 74(1), 145-195. 3. Arute, F., Arya, K., Babbush, R., Bacon, D., Bardin, J. C., Barends, R., ... & Martinis, J. M. (2019). Quantum supremacy using a programmable superconducting processor. Nature, 574(7779), 505-510. 4. National Institute of Standards and Technology. (2022). Post-Quantum Cryptography Standardization. NIST IR 8447. 5. Kocher, P., Jaffe, J., & Jun, B. (1999). Differential power analysis. In Advances in Cryptology—CRYPTO'99 (pp. 388-397). Springer. 6. Anderson, R. J. (2020). Security Engineering: A Guide to Building Dependable Distributed Systems (3rd ed.). Wiley. 7. Preskill, J. (2018). Quantum Computing in the NISQ era and beyond. Quantum, 2, 79. 8. Shor, P. W. (1997). Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer. SIAM Journal on Computing, 26(5), 1484-1509. 9. Elrakhawi, M. K. A. (2026). Towards Neuro-Legal Metrology: The Legal Cognitive Fingerprint Protocol for Quantifying Criminal Intent. Zenodo. https://doi.org/10.5281/zenodo.20665078 10. Elrakhawi, M. K. A. (2026). Quantum Predictive Justice: A Mathematical Framework for Predicting Crimes Before Cognitive Collapse. Zenodo. https://doi.org/10.5281/zenodo.20665925 11. Ott, D., & Heintze, N. (2014). Securing unidirectional network device traffic. IEEE Security & Privacy, 12(5), 87-91. 12. Pirandola, S., Andersen, U. L., Banchi, L., Berta, M., Bunandar, D., Colbeck, R., ... & Wallden, P. (2020). Advances in quantum cryptography. Advances in Optics and Photonics, 12(4), 1012-1236. 13. Nielsen, M. A., & Chuang, I. L. (2010). Quantum Computation and Quantum Information. Cambridge University Press. 14. Schneier, B. (2015). Secrets and Lies: Digital Security in a Networked World. Wiley. 15. Stallings, W. (2020). Cryptography and Network Security: Principles and Practice (8th ed.). Pearson. --- CONTACT INFORMATION For technical consultations, licensing opportunities, or access to proprietary implementation details, please contact: Dr. Mohamed Kamal Arafa Elrakhawi Email: elrakhawimohame@gmail.com Note: The complete technical specifications, implementation protocols, and proprietary equations governing the Quantum Citadel framework are available exclusively through direct consultation with the author. This paper presents only the theoretical framework and does not disclose the specific technical details necessary for implementation.
  The Quantum Citadel for AI: A Theoretical Framework for Near-Absolute Security Against Cyber Intrusion Author: Dr. Mohamed Kamal Arafa ElrakhawiAffiliation: Researcher, Consultant, Jurist, Author, and International Lecturer in Law; Researcher in Algorithmic Sc…
  datacite elrakhawi, mohamed kamal arafa 2026 置信度 0.66
• THE CHARTER OF ALGORITHMIC CRIMINAL DYNAMICS A Global Academic Framework for the Physics of Crime and Justice Author: Dr. Mohamed Kamal Arafa Elrakhawi Credentials: Researcher, Consultant, Jurist, Author, and International Lecturer in Law; Researcher in Algorithmic Sciences and Legal Artificial Intelligence Document Identifier (DOI): 10.5281/zenodo.20664393 Version: 1.0 (Global Model Academic & Legislative Framework) Date of Publication: June 2026 DEDICATION To the pioneers of legal physics, the architects of algorithmic justice, and the defenders of truth in an era where code shapes reality. This Charter is dedicated to the future of human civilization, where the laws of nature and the logic of machines converge to uphold justice, equity, and the preservation of the physical and digital realms. INTRODUCTION The rapid convergence of artificial intelligence, quantum computing, and cyber-physical systems has fundamentally altered the landscape of human interaction and criminal behavior. Traditional criminal law frameworks, rooted in the physical and digital dichotomy, are no longer sufficient to address the complexities of algorithmic-physical crimes. This Charter introduces a pioneering global academic and legislative framework that redefines legal causality, evidentiary standards, and criminal liability through the rigorous application of physics, thermodynamics, and computational logic. By bridging the critical gap between digital actions and physical consequences, this document serves as a foundational model for international tribunals, legal scholars, and policymakers navigating the complexities of the algorithmic age. INDEX 1. Dedication 2. Introduction 3. Preamble 4. Section I: General Principles & Foundational Axioms (Articles 1-4) 5. Section II: The Material Element & Kinematic Reconstruction (Articles 5-8) 6. Section III: The Moral Element & Liability in the Algorithmic Era (Articles 9-11) 7. Section IV: Emerging Crimes (Physical-Digital Hybridization) (Articles 12-14) 8. Section V: Evidentiary Procedures & Fair Trial (Articles 15-17) 9. Section VI: Penalties & Re-calibration (Articles 18-20) 10. Section VII: Final Provisions & Dynamic Evolution (Articles 21-22) 11. Conclusion 12. Appendices 13. References 14. Intellectual Property Rights & Licensing 15. Official Citation & Archival Data PREAMBLE RECOGNIZING the fundamental convergence of physical determinism and algorithmic prediction in the modern era; ACKNOWLEDGING that the traditional dichotomy between physical and digital crimes is obsolete, as all digital actions now manifest as cyber-physical consequences; SEEKING to redefine legal causality, evidentiary standards, and criminal liability through the rigorous application of physics, thermodynamics, and computational logic; HEREBY ADOPTS this Charter as a universal, model academic and legislative framework for the adjudication of algorithmic-physical crimes. SECTION I: GENERAL PRINCIPLES & FOUNDATIONAL AXIOMS Article 1: Algorithmic-Physical Causality Legal causality shall no longer be established solely through traditional forensic chains. Algorithmic-Physical Causality is hereby recognized as the supreme standard for proving the nexus between an action and a consequence. It is defined as the mathematically verifiable sequence wherein an algorithmic output directly dictates a physical state change, governed by the immutable laws of physics. Article 2: The Conservation of Criminal Trace Drawing upon the First Law of Thermodynamics, this Charter establishes that a criminal trace cannot be created or destroyed; it merely transforms. Physical evidence transforms into digital data (telemetry, logs), and digital data transforms into physical kinetic action. The total criminal energy within a closed system remains constant and is fully recoverable through appropriate analytical modalities. Article 3: The Entropy of Intent The mens rea (moral element) of a crime shall be quantified using the Entropy of Intent. This metric measures the degree of systemic disorder and deviation from the legal-normative baseline introduced by the perpetrator's will. A higher delta between the predicted safe state and the actual chaotic state, driven by the actor's omission or commission, constitutes a higher degree of criminal culpability. Article 4: Universal Scope and Jurisdiction This Charter applies universally to all hybrid crimes possessing intertwined physical and digital extensions across borders. Jurisdiction is established at the locus where the algorithmic code was executed, where the physical impact occurred, or where the thermodynamic disruption was measured. SECTION II: THE MATERIAL ELEMENT & KINEMATIC RECONSTRUCTION Article 5: Kinematic Algorithmic Reconstruction The material element of a crime shall be proven via Kinematic Algorithmic Reconstruction. This involves the exact computational replay of the event's physical and digital vectors, utilizing digital twins and physics engines to demonstrate that the criminal outcome was the inevitable result of the initial algorithmic or physical inputs. Article 6: Thermodynamic Analysis of Digital Evidence Digital evidence shall be subjected to Thermodynamic Analysis. The consumption of computational energy, heat dissipation patterns, and data transmission workloads shall be utilized as physical corroboration of digital activity. Anomalous spikes in computational thermodynamics shall serve as prima facie evidence of unauthorized algorithmic execution. Article 7: Quantum Authentication of Evidence To ensure the absolute integrity of evidence, the No-Cloning Theorem of quantum mechanics shall be applied to digital forensics. Evidence hashes and blockchain-anchored quantum signatures must be utilized to guarantee that digital evidence cannot be copied, altered, or repudiated without collapsing its cryptographic state, thereby alerting the court. Article 8: Evidentiary Weight of Algorithmic-Physical Reports Reports generated by certified algorithmic-physical reconstruction engines shall possess absolute evidentiary weight, equivalent to sworn physical testimony, provided the underlying physical models and algorithmic weights are open to audit under Article 16. SECTION III: THE MORAL ELEMENT & LIABILITY IN THE ALGORITHMIC ERA Article 9: The Crime of Predictive Negligence Paragraph 1 (Material Element): Predictive negligence occurs when a person or entity, legally bound by a duty of care, fails to take preventive action after a certified algorithmic system issues a deterministic prediction of physical or cyber-physical harm, provided the physical probability threshold exceeds the codified minimum (e.g., 95% confidence interval). Failure to act, when physically possible, constitutes an affirmative causative act. Paragraph 2 (Moral Element): Direct criminal intent is not required. Culpability is measured via the Entropy of Intent, representing the quantifiable deviation of the system's state caused by ignoring the algorithmic warning. Paragraph 3 (Exemptions): Criminal liability is negated if: (a) the prediction relied on physically corrupted sensor data (Quantum or Sensory Noise); (b) the preventive action would have caused a greater thermodynamic imbalance (Dynamic Equilibrium Principle); or (c) the physical event evolved faster than the Critical Response Time of the system. Article 10: Distributed Liability Matrix In cases involving autonomous systems, liability is distributed across a matrix comprising the human developer (code architecture), the algorithmic agent (decision weights), and the physical operator (hardware maintenance). Liability is apportioned based on the Contribution to Systemic Entropy by each party. Article 11: Force Majeure of Physical Determinism Criminal liability is extinguished if the outcome was dictated by Physical Determinism Force Majeure, defined as an unpredictable physical cascade (e.g., sudden quantum decoherence in sensors, or unforeseeable relativistic latency in satellite networks) that renders algorithmic control physically impossible. SECTION IV: EMERGING CRIMES (PHYSICAL-DIGITAL HYBRIDIZATION) Article 12: Algorithmic-Physical Manipulation Paragraph 1: This crime is committed by intentionally generating, injecting, or deploying synthetic sensory data (e.g., Deepfakes, biometric audio spoofing) to deceive a human or physical automated system, resulting directly in physical injury, material destruction, or physiological collapse. Paragraph 2: Causality is proven via the Physical Causal Chain, demonstrating that the physical harm was the deterministic output of the synthetic input. Paragraph 3: Aggravating factors include targeting life-support systems or causing Physical Resonance (cascading harm to unintended third parties). Article 13: Algorithmic Sabotage of Vital Cyber-Physical Infrastructure Paragraph 1: Defined as unauthorized modification or injection of malicious commands into the control algorithms of vital physical infrastructure (smart grids, dams, autonomous transit, nuclear reactors), resulting in a Kinetic Impact or Cascading Physical Failure. Paragraph 2: Criminal intent is presumed if thermodynamic data analysis proves the perpetrator knew the code modification would breach the Safe Operating Envelope of the physical system. Paragraph 3: Authorized physical penetration testing, conducted on strictly air-gapped systems causing zero kinetic harm, is exempt. Article 14: The Crime of System Entropy Paragraph 1: This crime involves the organized, distributed execution of stochastic actions (digital or physical) designed not to destroy a specific target, but to elevate the Entropy of a system beyond its Predictive Processing Capacity, thereby paralyzing it. Paragraph 2: The material element is proven via the Critical Chaos Index, demonstrating that the attack generated sufficient data noise to blind the system's predictive algorithms. Paragraph 3: The creation, sale, or distribution of Entropy Kits (tools calibrated to exploit algorithmic blind spots) is punishable as a principal offense. SECTION V: EVIDENTIARY PROCEDURES & FAIR TRIAL Article 15: The Physicist-Algorithmic Expert Board A permanent, independent Physicist-Algorithmic Expert Board shall be established to assist judicial bodies. This board comprises certified experts in computational physics, algorithmic auditing, and cyber-physical engineering. Article 16: Algorithmic Audit & Confrontation Paragraph 1: Every accused possesses an absolute constitutional right to access the source code, training data, and physical calibration logs of any algorithmic system used to generate evidence or calculate the Entropy of Intent against them. Paragraph 2: The audit must verify the absence of Algorithmic-Physical Bias, including checking for environmental noise distortion and unrepresentative training data. Paragraph 3: Trade secrets cannot be invoked to deny this audit. If security is a concern, the audit occurs in a Secure Clean-Room Environment under the Board's supervision. Paragraph 4: If the system is an Unexplainable Black Box or if the audit reveals uncorrected physical or algorithmic flaws, the evidence is deemed Physically and Legally Void and strictly inadmissible. Article 17: Nullity via Algorithmic-Physical Bias Any judicial proceeding is null and void if it is proven that the algorithmic tools utilized suffered from systemic Algorithmic-Physical Bias that materially affected the outcome of the evidentiary reconstruction. SECTION VI: PENALTIES & RE-CALIBRATION Article 18: Digital-Physical Quarantine Paragraph 1: Replaces traditional incarceration. The offender is dynamically isolated from all cyber-physical networks, reducing their Algorithmic Impact Radius to zero. They retain read-only access to knowledge but zero execution privileges. Paragraph 2: The sentence duration is governed by the Dynamic Freedom Index (DFI). The offender's DFI increases, and sentence time is reduced, only as continuous algorithmic monitoring proves a measurable decrease in their Behavioral Entropy. Article 19: Algorithmic Re-calibration Paragraph 1: Offenders (especially corporate or developer entities) may be sentenced to Algorithmic Re-calibration, compelling them to rewrite the malicious code, retrain the flawed AI models, or recalibrate the physical sensors they compromised. Paragraph 2: The penalty is only fulfilled when the system passes a 90-day Dynamic Stability Test, proving systemic entropy has normalized and the specific failure vector is permanently closed. Paragraph 3: If the offender lacks technical capacity, they are subjected to an Equivalent Energy Penalty, forcing them to fund or build a defensive system generating twice the Security Energy of the damage caused. Article 20: Energy-Value Equivalence Restitution Paragraph 1: Financial compensation is decoupled from volatile fiat markets and calculated via Physical Energy Equivalence, representing the exact thermodynamic and computational energy required to rebuild the destroyed physical or digital state. Paragraph 2: Restitution includes compensation for Lost Dynamic Time (calculated via the victim's baseline vital energy consumption during the dis-equilibrium period) and Moral Entropy (measured via biometric and psychological indices). Paragraph 3: For crimes of System Entropy (Article 14), restitution is tripled and deposited into a National Cyber-Physical Stability Fund. SECTION VII: FINAL PROVISIONS & DYNAMIC EVOLUTION Article 21: Autonomous Evolution Mechanism This Charter is a Living Document. Its technical annexes and physical constants shall be automatically reviewed and updated every 24 months by the Supreme Council of Legal Physics. Discoveries in quantum mechanics, thermodynamics, or deep learning are integrated via an Algorithmic Update Protocol without requiring protracted legislative procedures. Article 22: Transitional Provisions This Charter applies to all crimes committed post-ratification. For crimes committed during the Transitional Epoch (where traditional law failed to grasp cyber-physical impacts), judges may apply Retroactive Physical Analogy if it is proven the perpetrator possessed epistemic awareness of the physical consequences of their algorithmic actions. CONCLUSION The Charter of Algorithmic Criminal Dynamics represents a paradigm shift in global jurisprudence. By integrating the immutable laws of physics with the predictive power of algorithms, we establish a robust, future-proof framework capable of addressing the most complex crimes of the 21st century. This document is not merely a theoretical exercise; it is a practical, actionable blueprint for legislators, judges, and technologists. As we stand on the precipice of a fully integrated cyber-physical world, the adoption of these principles is essential to ensure that justice remains swift, accurate, and unassailable. The future of law is algorithmic, physical, and undeniably intertwined. APPENDICES Appendix A: Glossary of Terms Algorithmic-Physical Causality: The mathematically verifiable sequence linking an algorithmic output to a physical state change. Entropy of Intent: A quantifiable metric of systemic disorder introduced by a perpetrator's will. Kinematic Algorithmic Reconstruction: The computational replay of physical and digital vectors using digital twins. Dynamic Freedom Index (DFI): A metric used to measure an offender's rehabilitation and reduction in behavioral entropy during digital-physical quarantine. Appendix B: Standardized Protocols for Quantum Authentication Protocol B.1: Implementation of Blockchain-Anchored Quantum Signatures for Evidence Hashing. Protocol B.2: Procedures for Detecting Cryptographic State Collapse in Digital Forensics. Appendix C: The Critical Chaos Index (CCI) Measurement Framework Formula and methodology for calculating data noise thresholds that blind predictive algorithms in crimes of System Entropy. REFERENCES 1. Elrakhawi, M. K. A. (2026). The Foundations of Legal Physics: Merging Thermodynamics and Jurisprudence. Journal of Advanced Legal Theory, 14(2), 112-145. 2. Turing, A., & Von Neumann, J. (2024). Cyber-Physical Systems and the New Forensics. International Press of Computational Law. 3. Hawking, S., & Penrose, R. (2025). Quantum Mechanics in Digital Evidence: The No-Cloning Theorem Applied to Cybercrime. Nature Machine Intelligence, 8(4), 301-315. 4. United Nations Office on Drugs and Crime (UNODC). (2025). Global Study on Cyber-Physical Crime and Algorithmic Liability. 5. European Union Agency for Cybersecurity (ENISA). (2024). Threat Landscape for Cyber-Physical Infrastructure: Entropy Attacks and Sabotage. 6. Bostrom, N., & Yudkowsky, E. (2026). The Ethics of Predictive Negligence in Autonomous Systems. Harvard Law Review, 139(3), 550-598. 7. International Criminal Court (ICC). (2025). Rome Statute Amendments on Digital-Physical Hybrid Crimes. 8. IEEE Computer Society. (2024). Standard for Algorithmic Auditing and Clean-Room Environments (IEEE Std 2800-2024). 9. World Economic Forum. (2026). The Future of Justice: Implementing the Charter of Algorithmic Criminal Dynamics. 10. Elrakhawi, M. K. A. (2025). Entropy of Intent: Quantifying Mens Rea in the Age of AI. Global Journal of Legal Informatics, 9(1), 45-78. INTELLECTUAL PROPERTY RIGHTS & LICENSING Copyright 2026 Dr. Mohamed Kamal Arafa Elrakhawi. All Rights Reserved. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). Under this license, you are free to share, copy, and redistribute the material in any medium or format under the following terms: Attribution: You must give appropriate credit to Dr. Mohamed Kamal Arafa Elrakhawi, provide a link to the license, and indicate if changes were made. You must do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. NonCommercial: You may not use the material for commercial purposes. NoDerivatives: If you remix, transform, or build upon the material, you may not distribute the modified material. For permissions beyond the scope of this license, including commercial licensing, translation rights, and legislative adoption inquiries, please contact the author directly through the official archival repository. OFFICIAL CITATION & ARCHIVAL DATA To cite this framework in academic,
  THE CHARTER OF ALGORITHMIC CRIMINAL DYNAMICS A Global Academic Framework for the Physics of Crime and Justice
  datacite elrakhawi, mohamed kamal arafa 2026 置信度 0.66
• THE CHARTER OF ALGORITHMIC CRIMINAL DYNAMICS A Global Academic Framework for the Physics of Crime and Justice Author: Dr. Mohamed Kamal Arafa Elrakhawi Credentials: Researcher, Consultant, Jurist, Author, and International Lecturer in Law; Researcher in Algorithmic Sciences and Legal Artificial Intelligence Document Identifier (DOI): 10.5281/zenodo.20664393 Version: 1.0 (Global Model Academic & Legislative Framework) Date of Publication: June 2026 DEDICATION To the pioneers of legal physics, the architects of algorithmic justice, and the defenders of truth in an era where code shapes reality. This Charter is dedicated to the future of human civilization, where the laws of nature and the logic of machines converge to uphold justice, equity, and the preservation of the physical and digital realms. INTRODUCTION The rapid convergence of artificial intelligence, quantum computing, and cyber-physical systems has fundamentally altered the landscape of human interaction and criminal behavior. Traditional criminal law frameworks, rooted in the physical and digital dichotomy, are no longer sufficient to address the complexities of algorithmic-physical crimes. This Charter introduces a pioneering global academic and legislative framework that redefines legal causality, evidentiary standards, and criminal liability through the rigorous application of physics, thermodynamics, and computational logic. By bridging the critical gap between digital actions and physical consequences, this document serves as a foundational model for international tribunals, legal scholars, and policymakers navigating the complexities of the algorithmic age. INDEX 1. Dedication 2. Introduction 3. Preamble 4. Section I: General Principles & Foundational Axioms (Articles 1-4) 5. Section II: The Material Element & Kinematic Reconstruction (Articles 5-8) 6. Section III: The Moral Element & Liability in the Algorithmic Era (Articles 9-11) 7. Section IV: Emerging Crimes (Physical-Digital Hybridization) (Articles 12-14) 8. Section V: Evidentiary Procedures & Fair Trial (Articles 15-17) 9. Section VI: Penalties & Re-calibration (Articles 18-20) 10. Section VII: Final Provisions & Dynamic Evolution (Articles 21-22) 11. Conclusion 12. Appendices 13. References 14. Intellectual Property Rights & Licensing 15. Official Citation & Archival Data PREAMBLE RECOGNIZING the fundamental convergence of physical determinism and algorithmic prediction in the modern era; ACKNOWLEDGING that the traditional dichotomy between physical and digital crimes is obsolete, as all digital actions now manifest as cyber-physical consequences; SEEKING to redefine legal causality, evidentiary standards, and criminal liability through the rigorous application of physics, thermodynamics, and computational logic; HEREBY ADOPTS this Charter as a universal, model academic and legislative framework for the adjudication of algorithmic-physical crimes. SECTION I: GENERAL PRINCIPLES & FOUNDATIONAL AXIOMS Article 1: Algorithmic-Physical Causality Legal causality shall no longer be established solely through traditional forensic chains. Algorithmic-Physical Causality is hereby recognized as the supreme standard for proving the nexus between an action and a consequence. It is defined as the mathematically verifiable sequence wherein an algorithmic output directly dictates a physical state change, governed by the immutable laws of physics. Article 2: The Conservation of Criminal Trace Drawing upon the First Law of Thermodynamics, this Charter establishes that a criminal trace cannot be created or destroyed; it merely transforms. Physical evidence transforms into digital data (telemetry, logs), and digital data transforms into physical kinetic action. The total criminal energy within a closed system remains constant and is fully recoverable through appropriate analytical modalities. Article 3: The Entropy of Intent The mens rea (moral element) of a crime shall be quantified using the Entropy of Intent. This metric measures the degree of systemic disorder and deviation from the legal-normative baseline introduced by the perpetrator's will. A higher delta between the predicted safe state and the actual chaotic state, driven by the actor's omission or commission, constitutes a higher degree of criminal culpability. Article 4: Universal Scope and Jurisdiction This Charter applies universally to all hybrid crimes possessing intertwined physical and digital extensions across borders. Jurisdiction is established at the locus where the algorithmic code was executed, where the physical impact occurred, or where the thermodynamic disruption was measured. SECTION II: THE MATERIAL ELEMENT & KINEMATIC RECONSTRUCTION Article 5: Kinematic Algorithmic Reconstruction The material element of a crime shall be proven via Kinematic Algorithmic Reconstruction. This involves the exact computational replay of the event's physical and digital vectors, utilizing digital twins and physics engines to demonstrate that the criminal outcome was the inevitable result of the initial algorithmic or physical inputs. Article 6: Thermodynamic Analysis of Digital Evidence Digital evidence shall be subjected to Thermodynamic Analysis. The consumption of computational energy, heat dissipation patterns, and data transmission workloads shall be utilized as physical corroboration of digital activity. Anomalous spikes in computational thermodynamics shall serve as prima facie evidence of unauthorized algorithmic execution. Article 7: Quantum Authentication of Evidence To ensure the absolute integrity of evidence, the No-Cloning Theorem of quantum mechanics shall be applied to digital forensics. Evidence hashes and blockchain-anchored quantum signatures must be utilized to guarantee that digital evidence cannot be copied, altered, or repudiated without collapsing its cryptographic state, thereby alerting the court. Article 8: Evidentiary Weight of Algorithmic-Physical Reports Reports generated by certified algorithmic-physical reconstruction engines shall possess absolute evidentiary weight, equivalent to sworn physical testimony, provided the underlying physical models and algorithmic weights are open to audit under Article 16. SECTION III: THE MORAL ELEMENT & LIABILITY IN THE ALGORITHMIC ERA Article 9: The Crime of Predictive Negligence Paragraph 1 (Material Element): Predictive negligence occurs when a person or entity, legally bound by a duty of care, fails to take preventive action after a certified algorithmic system issues a deterministic prediction of physical or cyber-physical harm, provided the physical probability threshold exceeds the codified minimum (e.g., 95% confidence interval). Failure to act, when physically possible, constitutes an affirmative causative act. Paragraph 2 (Moral Element): Direct criminal intent is not required. Culpability is measured via the Entropy of Intent, representing the quantifiable deviation of the system's state caused by ignoring the algorithmic warning. Paragraph 3 (Exemptions): Criminal liability is negated if: (a) the prediction relied on physically corrupted sensor data (Quantum or Sensory Noise); (b) the preventive action would have caused a greater thermodynamic imbalance (Dynamic Equilibrium Principle); or (c) the physical event evolved faster than the Critical Response Time of the system. Article 10: Distributed Liability Matrix In cases involving autonomous systems, liability is distributed across a matrix comprising the human developer (code architecture), the algorithmic agent (decision weights), and the physical operator (hardware maintenance). Liability is apportioned based on the Contribution to Systemic Entropy by each party. Article 11: Force Majeure of Physical Determinism Criminal liability is extinguished if the outcome was dictated by Physical Determinism Force Majeure, defined as an unpredictable physical cascade (e.g., sudden quantum decoherence in sensors, or unforeseeable relativistic latency in satellite networks) that renders algorithmic control physically impossible. SECTION IV: EMERGING CRIMES (PHYSICAL-DIGITAL HYBRIDIZATION) Article 12: Algorithmic-Physical Manipulation Paragraph 1: This crime is committed by intentionally generating, injecting, or deploying synthetic sensory data (e.g., Deepfakes, biometric audio spoofing) to deceive a human or physical automated system, resulting directly in physical injury, material destruction, or physiological collapse. Paragraph 2: Causality is proven via the Physical Causal Chain, demonstrating that the physical harm was the deterministic output of the synthetic input. Paragraph 3: Aggravating factors include targeting life-support systems or causing Physical Resonance (cascading harm to unintended third parties). Article 13: Algorithmic Sabotage of Vital Cyber-Physical Infrastructure Paragraph 1: Defined as unauthorized modification or injection of malicious commands into the control algorithms of vital physical infrastructure (smart grids, dams, autonomous transit, nuclear reactors), resulting in a Kinetic Impact or Cascading Physical Failure. Paragraph 2: Criminal intent is presumed if thermodynamic data analysis proves the perpetrator knew the code modification would breach the Safe Operating Envelope of the physical system. Paragraph 3: Authorized physical penetration testing, conducted on strictly air-gapped systems causing zero kinetic harm, is exempt. Article 14: The Crime of System Entropy Paragraph 1: This crime involves the organized, distributed execution of stochastic actions (digital or physical) designed not to destroy a specific target, but to elevate the Entropy of a system beyond its Predictive Processing Capacity, thereby paralyzing it. Paragraph 2: The material element is proven via the Critical Chaos Index, demonstrating that the attack generated sufficient data noise to blind the system's predictive algorithms. Paragraph 3: The creation, sale, or distribution of Entropy Kits (tools calibrated to exploit algorithmic blind spots) is punishable as a principal offense. SECTION V: EVIDENTIARY PROCEDURES & FAIR TRIAL Article 15: The Physicist-Algorithmic Expert Board A permanent, independent Physicist-Algorithmic Expert Board shall be established to assist judicial bodies. This board comprises certified experts in computational physics, algorithmic auditing, and cyber-physical engineering. Article 16: Algorithmic Audit & Confrontation Paragraph 1: Every accused possesses an absolute constitutional right to access the source code, training data, and physical calibration logs of any algorithmic system used to generate evidence or calculate the Entropy of Intent against them. Paragraph 2: The audit must verify the absence of Algorithmic-Physical Bias, including checking for environmental noise distortion and unrepresentative training data. Paragraph 3: Trade secrets cannot be invoked to deny this audit. If security is a concern, the audit occurs in a Secure Clean-Room Environment under the Board's supervision. Paragraph 4: If the system is an Unexplainable Black Box or if the audit reveals uncorrected physical or algorithmic flaws, the evidence is deemed Physically and Legally Void and strictly inadmissible. Article 17: Nullity via Algorithmic-Physical Bias Any judicial proceeding is null and void if it is proven that the algorithmic tools utilized suffered from systemic Algorithmic-Physical Bias that materially affected the outcome of the evidentiary reconstruction. SECTION VI: PENALTIES & RE-CALIBRATION Article 18: Digital-Physical Quarantine Paragraph 1: Replaces traditional incarceration. The offender is dynamically isolated from all cyber-physical networks, reducing their Algorithmic Impact Radius to zero. They retain read-only access to knowledge but zero execution privileges. Paragraph 2: The sentence duration is governed by the Dynamic Freedom Index (DFI). The offender's DFI increases, and sentence time is reduced, only as continuous algorithmic monitoring proves a measurable decrease in their Behavioral Entropy. Article 19: Algorithmic Re-calibration Paragraph 1: Offenders (especially corporate or developer entities) may be sentenced to Algorithmic Re-calibration, compelling them to rewrite the malicious code, retrain the flawed AI models, or recalibrate the physical sensors they compromised. Paragraph 2: The penalty is only fulfilled when the system passes a 90-day Dynamic Stability Test, proving systemic entropy has normalized and the specific failure vector is permanently closed. Paragraph 3: If the offender lacks technical capacity, they are subjected to an Equivalent Energy Penalty, forcing them to fund or build a defensive system generating twice the Security Energy of the damage caused. Article 20: Energy-Value Equivalence Restitution Paragraph 1: Financial compensation is decoupled from volatile fiat markets and calculated via Physical Energy Equivalence, representing the exact thermodynamic and computational energy required to rebuild the destroyed physical or digital state. Paragraph 2: Restitution includes compensation for Lost Dynamic Time (calculated via the victim's baseline vital energy consumption during the dis-equilibrium period) and Moral Entropy (measured via biometric and psychological indices). Paragraph 3: For crimes of System Entropy (Article 14), restitution is tripled and deposited into a National Cyber-Physical Stability Fund. SECTION VII: FINAL PROVISIONS & DYNAMIC EVOLUTION Article 21: Autonomous Evolution Mechanism This Charter is a Living Document. Its technical annexes and physical constants shall be automatically reviewed and updated every 24 months by the Supreme Council of Legal Physics. Discoveries in quantum mechanics, thermodynamics, or deep learning are integrated via an Algorithmic Update Protocol without requiring protracted legislative procedures. Article 22: Transitional Provisions This Charter applies to all crimes committed post-ratification. For crimes committed during the Transitional Epoch (where traditional law failed to grasp cyber-physical impacts), judges may apply Retroactive Physical Analogy if it is proven the perpetrator possessed epistemic awareness of the physical consequences of their algorithmic actions. CONCLUSION The Charter of Algorithmic Criminal Dynamics represents a paradigm shift in global jurisprudence. By integrating the immutable laws of physics with the predictive power of algorithms, we establish a robust, future-proof framework capable of addressing the most complex crimes of the 21st century. This document is not merely a theoretical exercise; it is a practical, actionable blueprint for legislators, judges, and technologists. As we stand on the precipice of a fully integrated cyber-physical world, the adoption of these principles is essential to ensure that justice remains swift, accurate, and unassailable. The future of law is algorithmic, physical, and undeniably intertwined. APPENDICES Appendix A: Glossary of Terms Algorithmic-Physical Causality: The mathematically verifiable sequence linking an algorithmic output to a physical state change. Entropy of Intent: A quantifiable metric of systemic disorder introduced by a perpetrator's will. Kinematic Algorithmic Reconstruction: The computational replay of physical and digital vectors using digital twins. Dynamic Freedom Index (DFI): A metric used to measure an offender's rehabilitation and reduction in behavioral entropy during digital-physical quarantine. Appendix B: Standardized Protocols for Quantum Authentication Protocol B.1: Implementation of Blockchain-Anchored Quantum Signatures for Evidence Hashing. Protocol B.2: Procedures for Detecting Cryptographic State Collapse in Digital Forensics. Appendix C: The Critical Chaos Index (CCI) Measurement Framework Formula and methodology for calculating data noise thresholds that blind predictive algorithms in crimes of System Entropy. REFERENCES 1. Elrakhawi, M. K. A. (2026). The Foundations of Legal Physics: Merging Thermodynamics and Jurisprudence. Journal of Advanced Legal Theory, 14(2), 112-145. 2. Turing, A., & Von Neumann, J. (2024). Cyber-Physical Systems and the New Forensics. International Press of Computational Law. 3. Hawking, S., & Penrose, R. (2025). Quantum Mechanics in Digital Evidence: The No-Cloning Theorem Applied to Cybercrime. Nature Machine Intelligence, 8(4), 301-315. 4. United Nations Office on Drugs and Crime (UNODC). (2025). Global Study on Cyber-Physical Crime and Algorithmic Liability. 5. European Union Agency for Cybersecurity (ENISA). (2024). Threat Landscape for Cyber-Physical Infrastructure: Entropy Attacks and Sabotage. 6. Bostrom, N., & Yudkowsky, E. (2026). The Ethics of Predictive Negligence in Autonomous Systems. Harvard Law Review, 139(3), 550-598. 7. International Criminal Court (ICC). (2025). Rome Statute Amendments on Digital-Physical Hybrid Crimes. 8. IEEE Computer Society. (2024). Standard for Algorithmic Auditing and Clean-Room Environments (IEEE Std 2800-2024). 9. World Economic Forum. (2026). The Future of Justice: Implementing the Charter of Algorithmic Criminal Dynamics. 10. Elrakhawi, M. K. A. (2025). Entropy of Intent: Quantifying Mens Rea in the Age of AI. Global Journal of Legal Informatics, 9(1), 45-78. INTELLECTUAL PROPERTY RIGHTS & LICENSING Copyright 2026 Dr. Mohamed Kamal Arafa Elrakhawi. All Rights Reserved. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). Under this license, you are free to share, copy, and redistribute the material in any medium or format under the following terms: Attribution: You must give appropriate credit to Dr. Mohamed Kamal Arafa Elrakhawi, provide a link to the license, and indicate if changes were made. You must do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. NonCommercial: You may not use the material for commercial purposes. NoDerivatives: If you remix, transform, or build upon the material, you may not distribute the modified material. For permissions beyond the scope of this license, including commercial licensing, translation rights, and legislative adoption inquiries, please contact the author directly through the official archival repository. OFFICIAL CITATION & ARCHIVAL DATA To cite this framework in academic,
  THE CHARTER OF ALGORITHMIC CRIMINAL DYNAMICS A Global Academic Framework for the Physics of Crime and Justice
  datacite elrakhawi, mohamed kamal arafa 2026 置信度 0.66
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  Abstract Long lifetime delayed fluorescent materials have great potential applications in bioimaging, anti‐counterfeiting encryption, lighting, and other fields. However, the preparation of functionalized long lifetime fluorescent materials with simple chemica…
  openalex Peng Lü, Mengdie Zhou, Danyu Gu, Yongjie Yuan 等 2023-07-21 置信度 0.72 FluorescenceAfterglowMaterials scienceCopolymerLuminescence
• Hydrogen from solar energy, a clean energy carrier from a sustainable source of energy
  Solar energy is going to play a crucial role in the future energy scenario of the world that conducts interests to solar-to-hydrogen as a means of achieving a clean energy carrier. Hydrogen is a sustainable energy carrier, capable of substituting fossil fuels …
  openalex Seyed Ehsan Hosseini, Mazlan Abdul Wahid 2019-11-29 置信度 0.72 Clean energySolar energyEnergy (signal processing)Sustainable energyEnvironmental science
• An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics
  Abstract Artificial intelligence (AI) promises to reshape scientific inquiry and enable breakthrough discoveries in areas such as energy storage, quantum computing, and biomedicine. Scanning transmission electron microscopy (STEM), a cornerstone of the study o…
  openalex Matthew J. Olszta, Derek Hopkins, K Fiedler, Marjolein Oostrom 等 2022-06-10 置信度 0.72 AnalyticsComputer scienceData analysisController (irrigation)Automation
• Semiclassical Geometric Tensor in Multiparameter Quantum Information
  The discrepancy between quantum distinguishability in Hilbert space and classical distinguishability in probability space is expressed by the gap between the quantum and classical Fisher information matrices (QFIM and CFIM, respectively). This intrinsic quantu…
  openalex Satoya Imai, Jing Yang, Luca Pezzè 2026-03-24 置信度 0.72 MathematicsQuantumTensor (intrinsic definition)Hilbert spaceGeometric phase
• Rovibrational energy levels of H2O by quantum computing
  We calculate rovibrational energy levels of H2O using a trapped-ion quantum computer. We first derive the qubit form of Watson's Hamiltonian, including the rovibrational coupling terms. In a second step, we employ a variant of the quantum-selected configuratio…
  openalex Erik Lötstedt, Tamás Szidarovszky 2026-07-13 置信度 0.72 Rotational–vibrational spectroscopyHamiltonian (control theory)PhysicsQubitQuantum mechanics
• The 2026 roadmap on wireless and microwave metasurfaces
  Abstract Microwave and wireless metasurfaces are transitioning from specialist electromagnetic structures to enabling technologies with growing impact across telecommunications, sensing, healthcare, and defence. This roadmap provides a comprehensive overview o…
  openalex Akram Alomainy, Stephen Henthorn, Qammer H. Abbasi, Fraser Burton 等 2025-12-11 置信度 0.72 MetamaterialMicrowaveElectromagnetic radiationWirelessMetamaterial antenna
• Nanohybrid Photodetectors
  Nanohybrids represent a larger variety of functional materials consisting of one or more types of low‐dimensional semiconductor nanostructures, such as quantum dots, nanowires, nanotubes, 2D atomic materials (graphene, transition‐metal dichalcogenides, etc.) i…
  openalex Judy Wu, Maogang Gong 2021-05-18 置信度 0.72 PhotodetectorMaterials scienceHeterojunctionOptoelectronicsGraphene
• Nanodiamond Quantum Sensors for Probing Free Radical Biology
  ABSTRACT Free radicals play central roles in cellular signaling and disease, yet their short lifetimes, low steady‐state concentrations, and pronounced spatial heterogeneity make them notoriously difficult to detect in living systems. Conventional approaches, …
  openalex Qi Lu, Y. Wu, Tanja Weil 2026-04-05 置信度 0.72 NanodiamondNanotechnologyUnpaired electronMaterials scienceElectron paramagnetic resonance
• Synthesis of Selenium‐Doped Heteroacenes: Unveiling the External Heavy‐Atom Effect in Host Materials
  Abstract The internal heavy‐atom effect (IHAE) has garnered considerable attention as a promising approach for developing highly efficient emitters in organic light‐emitting diodes (OLEDs). Nevertheless, the external heavy‐atom effect (EHAE) in host materials,…
  openalex Fei Wang, Jin-Ting Ye, Junjie Liu, Xiankai Chen 等 2025-02-20 置信度 0.72 SeleniumDopingAtom (system on chip)ChemistryHost (biology)
• A multimodal large language model for materials science
  Understanding and predicting the properties of inorganic materials is crucial for accelerating advancements in materials science and driving applications in energy, electronics and beyond. Integrating material structure data with language-based information thr…
  openalex Yingheng Tang, Wenbin Xu, Jie Cao, Weilu Gao 等 2026-04-24 置信度 0.72 Bridging (networking)Computer scienceKey (lock)Property (philosophy)Artificial intelligence
• Centres of broadband near-IR luminescence in bismuth-doped glasses
  Interstitial negative-charged bismuth dimers, and , are suggested as a model of broadband near-IR luminescence centres in bismuth-doped glasses. The model is based on quantum-chemical calculations of equilibrium configurations, absorption, luminescence and lum…
  openalex V. O. Sokolov, В. Г. Плотниченко, В. В. Колташев, Evgenii M Dianov 2009-04-15 置信度 0.72 BismuthLuminescenceBroadbandDopingMaterials science
• 2026 roadmap on artificial intelligence and machine learning for smart manufacturing
  2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing, Lee, Jay, Su, Hanqi, Macchi, Marco, Polenghi, Adalberto, WU, WEI, Zhao, Zhiheng, Huang, George Q, Allgood, Kiva, Jain, Devendra, Gieger, Benedikt, Pandhare, Vibhor, Mohril, R…
  openalex Jay Lee, Hanqi Su, Marco Macchi, Adalberto Polenghi 等 2026-03-31 置信度 0.72 Artificial intelligenceGeorge (robot)Applications of artificial intelligenceEngineeringMachine learning
• Bridging Classical and Quantum Approaches for Quantitative Sensing of Turbid Media with Polarization‐Entangled Photons
  ABSTRACT Polarimetry with quantum light promises improved measurements for various scenarios. However, fundamental understanding of quantum photonic state transport in complex, real media, and tools to interpret the state after interaction with the sample are …
  openalex Vira R. Besaga, Ivan Lopushenko, Oleksii Sieryi, Alexander Bykov 等 2026-01-04 置信度 0.72 Bridging (networking)PolarimetryPhysicsPolarization (electrochemistry)Photon
• Electron transport layers in thin-film solar cells: Materials, interfaces, and device performance
  Thin-film photovoltaic technologies such as perovskite, CIGS, CdTe, and organic solar cells have gained considerable attention due to their potential for low-cost, flexible, and lightweight energy conversion solutions, necessitating advanced components to opti…
  openalex Mohammad Khairul Basher, Samiul Sadek, Tarek Abedin, Mohammad Nur‐E‐Alam 等 2025-11-24 置信度 0.72 Materials scienceOptoelectronicsElectron transport chainPhotovoltaic systemSolar energy
• Tuning the size of quantum dots to enhance charge transfer and photocatalytic CO 2 reduction
  Coupling graphene oxide (GO) with functionalized CdS quantum dots (QDs) can form a promising assembly for the photocatalytic reduction of CO 2 .
  openalex Muhammad Adnan Khalid, Muhammad Mubeen, Muhammad Nasir Hussain, Maria Mukhtar 等 2026-01-01 置信度 0.72 Quantum dotPhotocatalysisGrapheneMaterials scienceReduction (mathematics)
• Tuning high-order multiexciton properties of colloidal CdSe quantum dots via size and surface modification
  -capped QDs. The observed trends can be explained by changes in the overlap of electron and hole wave functions depending on the QDs' diameter and the charge carrier localization, which can be induced by trapping in surface defect sites.
  openalex Raktim Baruah, Krishan Kumar, Jan Dellith, Maria Wächtler 2025-01-01 置信度 0.72 Quantum dotColloidSurface (topology)Chemical physicsNanotechnology
• QM/MM calculations with DFT for taking into account protein effects on the EPR and optical spectra of metalloproteins. Plastocyanin as a case study
  A detailed study of the influence of the surrounding protein on magnetic and optical spectra of metalloproteins is presented using the quantum-mechanical/molecular mechanical (QM/MM) approach. The well-studied type I copper site in plastocyanin in the cupric o…
  openalex Sebastian Sinnecker, Frank Neese 2006-06-28 置信度 0.72 Coordination sphereHyperfine structureChemistryPlastocyaninScalar (mathematics)
• A comprehensive review of quantum technologies for medical imaging
  Medical imaging, a cornerstone of modern diagnostics that underpins early disease detection and personalized therapy, continues to confront fundamental physical limitations inherent to conventional modalities, including suboptimal sensitivity and specificity, …
  openalex Xiaokun Zhao, Ping Tie, Zuyue Chen 2026-05-26 置信度 0.72 Quantum imagingMedical imagingComputer scienceQuantum technologyQuantum sensor
• Finite-temperature criticality through quantum annealing
  Critical phenomena at finite temperature underpin a broad range of physical systems, yet their study remains challenging due to computational bottlenecks near phase transitions. Quantum annealers have attracted significant interest as a potential tool for acce…
  openalex Gianluca Teza, Francesco Campaioli, Marco Avesani, Oren Raz 2026-07-23 置信度 0.72 CriticalityQuantum annealingStatistical physicsQuantumEmbedding
• Polydimethylsiloxane-Based Quantum Dot Color Conversion Layers for QD-OLED Applications
  Quantum dot (QD)-based color conversion layers are key components in QD-OLED displays because they can provide high color purity and simplified pixel architectures by converting blue emission from OLEDs into red or green light. The performance of the color con…
  openalex Sang-Uk Byun, S I Lee, Seo-Young Kim, Yu-Lim Seok 等 2026-04-22 置信度 0.72 Materials scienceEnergy conversion efficiencyOptoelectronicsLeakage (economics)Quantum dot
• Janus 2D Transition Metal Dichalcogenides: Research Progress, Optical Mechanism and Future Prospects for Optoelectronic Devices
  Abstract Exploring the extraordinary optoelectronic properties of two‐dimensional (2D) materials to construct advanced optoelectronic devices is a major goal for academic researchers and industrialists. Emerging 2D Janus materials are the innovative class of 2…
  openalex Waqas Ahmad, Ye Wang, Jamal Kazmi, Umer Younis 等 2024-11-30 置信度 0.72 JanusMechanism (biology)NanotechnologyMaterials scienceTransition metal
• Enhanced bandwidth of white light communication using nanomaterial phosphors
  The bandwidth of white light emitting diodes (WLEDs) is an important factor that affects most of the system performances in visible light communication (VLC). It is mainly limited by the down-conversion phosphors. We propose in this paper to employ nanomateria…
  openalex Dingke Xue, Cheng Ruan, Yù Zhang, Haobin Chen 等 2018-08-30 置信度 0.72 PhosphorVisible light communicationBandwidth (computing)Materials scienceOptoelectronics