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Generally, the dissipationless Hall effect in solids requires time-reversal symmetry breaking (TRSB), where TRSB induced by external magnetic field results in the ordinary Hall effect, while TRSB caused by spontaneous magnetization gives rise to the anomalous …
pubmed
Xia W, Bai B, Chen X, Yang Y 等
2024 Nov 22
置信度 0.82
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We present a quantum-classical hybrid algorithm for calculating the ground state and its energy of the quantum many-body Hamiltonian by proposing an adaptive construction of a quantum state for the quantum-selected configuration interaction (QSCI) method. QSCI…
pubmed
Nakagawa YO, Kamoshita M, Mizukami W, Sudo S 等
2024 Dec 24
置信度 0.82
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Experimental results on two supramolecular complexes in which a Cr III or Fe III d-orbital single-ion magnet center is embedded between a pair of Fe II spin-crossover moieties make those two complexes interesting as possible candidates for use in quantum infor…
pubmed
Albavera-Mata A, Liu S, Cheng HP, Hennig RG 等
2024 Dec 19
置信度 0.82
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An air- and moisture-stable hydrocarbon radical with four six- and three five-membered rings alternately fused to a heptacycle was obtained by ortho fusion in a suitably ortho,ortho'-substituted diphenylfluorene and subsequent re-establishment of the conjugati…
pubmed
Acan AS, Wenzel JO, Breher F, Podlech J
2025 Jan 27
置信度 0.82
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Antiferroelectric (AFE) ceramics are competitive energy storage candidates for advanced high-power devices. However, the poor recoverable energy density and efficiency are challenging and severely hinder their applications. Here, superior energy storage perfor…
pubmed
Yang Y, Liu W, Wang X, Tang T 等
2024 Dec 18
置信度 0.82
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The quantum-dot-in-perovskite matrix (DIM) is an emerging class of semiconductors for optoelectronics enabled by their complementary charge transport properties and stability improvements. However, a detailed understanding of the pure electrical properties in …
pubmed
Haque MA, Zhu T, Tounesi R, Lee S 等
2024 Dec 17
置信度 0.82
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Vacuum-ultraviolet (VUV) absorption spectroscopy enables electronic transitions that offer the unambiguous identification of molecules. As target molecules become more complex, multifunctional species present a great challenge to both experimental and computat…
pubmed
Beck IT, Mitchell EC, Hill AW, Turney JM 等
2024 Dec 19
置信度 0.82
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This paper describes a group of sixty (60) sub and extended chlorine oxide species with the general formulae of Cl x O y (with x ≤ 2, y ≤ 8). Their role in water treatment cycles, behaving as key reactive species, is represent…
pubmed
Misheer N, Ndungu PG, Pretorius JA
2024 Oct 30
置信度 0.82
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Extended similarity indices (i.e., generalization of pairwise similarity) have recently gained importance because of their simplicity, fast computation and superiority in tasks like diversity picking. However, they operate with several meta parameters that sho…
pubmed
López Pérez K, Rácz A, Bajusz D, Gonzalez C 等
2024 Sep
置信度 0.82
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We present herein our computational exploration of the conformational landscape and photophysical properties of protonated adenosine (AdoH + ). Several different protonated isomers and conformers have been considered and their relevant photophysical properties…
pubmed
Salehi M, Çarçabal P, Omidyan R
2024 Dec 19
置信度 0.82
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Fidelity estimation is a necessary tool for evaluating noise in quantum measurement and quantum computation. The traditional fidelity estimation is to calculate the distance between two density matrices by employing direct fidelity estimation, which consumes t…
pubmed
Lu Y, Lai L, Xiang J, Dai Y 等
2024 Dec 5
置信度 0.82
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Surface acoustic waves have emerged as one of the potential candidates for the development of next-generation wave-based information and computing technologies. For practical devices, it is essential to develop the excitation techniques for different types of …
pubmed
Graczyk P, Rana B, Trzaskowska A, Mahato BK 等
2025 Apr
置信度 0.82
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Fluorescence imaging and recognition are core technologies in targeted medicine, pathological surgery, and biomedicine. However, current imaging and recognition systems are separate, requiring repeated data transfers for imaging and recognition that lead to de…
pubmed
Jian Y, Gao W, Qin Y, Guo H 等
2024 Dec 27
置信度 0.82
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The high-temperature superconducting cuprates host unidirectional spin- and charge-density-wave orders that can intertwine with superconductivity in nontrivial ways. While the charge components of these stripes have now been observed in nearly all cuprate fami…
pubmed
Mai P, Cohen-Stead B, Maier TA, Johnston S
2024 Dec 10
置信度 0.82
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Strong laser pulses can control superconductivity, inducing nonequilibrium transient pairing by leveraging strong-light matter interaction. Here, we demonstrate theoretically that equilibrium ground-state phonon-mediated superconductive pairing can be affected…
pubmed
Lu IT, Shin D, Svendsen MK, Hübener H 等
2024 Dec 10
置信度 0.82
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While relative binding free energy (RBFE) calculations using alchemical methods are routinely carried out for many pharmaceutically relevant protein targets, challenges remain. For example, open-source tools do not support the easy setup and simulation of meta…
pubmed
Güven JJ, Hanževački M, Kalita P, Mulholland AJ 等
2024 Dec 19
置信度 0.82
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The objective of this study is to verify whether X-ray can be visualized for imaging scattered radiation sources in X-ray radiography using a semiconductor radiation visualization camera with image processing and to evaluate its characteristics. Measurements w…
pubmed
Sakai M, Fujibuchi T, Lee H, Han D
2025 Mar
置信度 0.82
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In research and engineering, short laser pulses are fundamental for metrology and communication. The generation of pulses by passive mode-locking is especially desirable due to the compact setup dimensions, without the need for active modulation requiring dedi…
pubmed
Seitner L, Popp J, Haider M, Dhillon SS 等
2024 Apr
置信度 0.82
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The longwave infrared (LWIR) range, which spans from 6 µm to 14 µm, is appealing for sensing due to strong molecular fingerprints in this range. However, the limited availability of low-loss materials that can provide higher-index waveg…
pubmed
Ren D, Dong C, Høvik J, Khan MI 等
2024 Apr
置信度 0.82
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Advancements in computer science have propelled society into an era of data explosion, marked by a critical need for enhanced data transmission capacity, particularly in the realm of space-division multiplexing and demultiplexing devices for fiber communicatio…
pubmed
Zhao Y, Wang H, Huang T, Guan Z 等
2024 Sep
置信度 0.82
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The emerging field of photonic topological insulators offers promising platforms for high-performance optical communication, computing, and sensing. However, conventional photonic topological insulator designs typically operate within the diffraction limit due…
pubmed
Lin S, Wong ZJ
2024 Jul
置信度 0.82
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Nanostructured plasmonic surfaces allow for precise tailoring of electromagnetic modes within sub-diffraction mode volumes, boosting light-matter interactions. This study explores vibrational strong coupling (VSC) between molecular ensembles and subradiant "da…
pubmed
Yim JE, Brawley ZT, Sheldon MT
2024 May
置信度 0.82
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Single-photon emitters (SPEs) hold the key to many quantum technologies including quantum computing. In particular, developing a scalable array of identical SPEs can play an important role in preparing single photons - crucial resources for computation - at a …
pubmed
Yu Y, Seo IC, Luo M, Lu K 等
2024 Aug
置信度 0.82
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The information security plays a significant role in both our daily life and national security. As the traditional algorithm-based secure key distribution (SKD) is challenged by the quantum computers, the optical physical-layer SKD has attracted great attentio…
pubmed
Wu B, Zhou H, Dong J, Chen Y 等
2024 Aug
置信度 0.82
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Different types of devices with modulable resistance are attractive for the significant potential applications such as sensors, information storage, computation, etc. Although extensive research has been reported on resistance effects, there is still a need fo…
pubmed
Du R, Wang W, Lin H, Zhang X 等
2024 Aug
置信度 0.82
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Nonlinear photonics has unveiled new avenues for applications in metrology, spectroscopy, and optical communications. Recently, there has been a surge of interest in integrated platforms, attributed to their fundamental benefits, including compatibility with c…
pubmed
Geng W, Fang Y, Wang Y, Bao C 等
2024 Aug
置信度 0.82
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Photonics offers unique capabilities for quantum information processing (QIP) such as room-temperature operation, the scalability of nanophotonics, and access to ultrabroad bandwidths and consequently ultrafast operation. Ultrashort pulse sources of quantum st…
pubmed
Williams J, Nehra R, Sendonaris E, Ledezma L 等
2024 Aug
置信度 0.82
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Archaerhodopsin-3 (AR-3) variants stand out among other rhodopsins in that they display a weak, but voltage-sensitive, near-infrared fluorescence emission. This has led to their application in optogenetics both in cell cultures and small animals. However, in t…
pubmed
Herasymenko K, Walisinghe D, Konno M, Barneschi L 等
2025 Jan 2
置信度 0.82
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Optical signal processing has been playing a crucial part as powerful engine for various information systems in the practical applications. In particular, achieving large-scale programmable chips for signal processing are highly desirable for high flexibility,…
pubmed
Xie Y, Wu J, Hong S, Wang C 等
2024 May
置信度 0.82
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Metasurfaces have recently opened up applications in the quantum regime, including quantum tomography and the generation of quantum entangled states. With their capability to store a vast amount of information by utilizing the various geometric degrees of free…
pubmed
Tanuwijaya RS, Liang H, Xi J, Wong WC 等
2024 Mar
置信度 0.82
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We report the fabrication and characterization of a plasmonic metasurface comprising electrically-contacted sub-wavelength gold dipole nanoantennas, conformally coated by a thin hafnia film, an indium tin oxide layer and a backside mirror, forming metal-oxide-…
pubmed
Mayoral Astorga LA, Shabaninezhad M, Northfield H, Ntais S 等
2024 Mar
置信度 0.82
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The Large Hadron Collider's high luminosity era presents major computational challenges in the analysis of collision events. Large amounts of Monte Carlo (MC) simulation will be required to constrain the statistical uncertainties of the simulated datasets belo…
pubmed
Hoque S, Jia H, Abhishek A, Fadaie M 等
2024
置信度 0.82
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This study aims to leverage the advanced capabilities of quantum computing to construct an efficient framework for processing large-scale health data, uncover potential higher-order correlations in medicine, and enhance the accuracy of smart healthcare diagnos…
pubmed
Mei P, Zhang F
2024
置信度 0.82
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We show how machine learning techniques can be applied for the classification of topological phases in finite leaky photonic lattices using limited measurement data. We propose an approach based solely on a single real-space bulk intensity image, thus exempt f…
pubmed
Smolina E, Smirnov L, Leykam D, Nori F 等
2024 Feb
置信度 0.82
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Plasmonic modes confined to metallic nanostructures at the atomic and molecular scale push the boundaries of light-matter interactions. Within these extreme plasmonic structures of ultrathin nanogaps, coupled nanoparticles, and tunnelling junctions, new physic…
pubmed
Zhu Y, Raschke MB, Natelson D, Cui L
2024 May
置信度 0.82
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We propose an on-chip gyroscope based on nonlinear multiresonant optics in a thin film χ (2) resonator that combines high sensitivity, compact form factor, and low power consumption simultaneously. We theoretically analyze a novel holistic metric - Fishe…
pubmed
Sun M, Kovanis V, Lončar M, Lin Z
2024 May
置信度 0.82
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Continual attempts have been made to discover excellent nonlinear optical (NLO) materials. Here, we investigate the role of stacking interactions and van der Waals forces in the designed parallel stacked complexes M[9C] 2 M (where M = Li, Na, K, Be, Mg, and Ca…
pubmed
Ahsin A, Qamar A, Kaviani S, Vetrivelan V
2024 Dec 18
置信度 0.82
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The integration of deep neural networks with the variational Monte Carlo (VMC) method has marked a substantial advancement in solving the Schrödinger equation. In this work we enforce spin symmetry in the neural-network-based VMC calculation using a modif…
pubmed
Li Z, Lu Z, Li R, Wen X 等
2024 Dec
置信度 0.82
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pubmed
Li Y, Chen Y, He X
2024 Dec
置信度 0.82
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While defects are undesirable for the reliability of electronic devices, particularly in scaled microelectronics, they have proven beneficial in numerous quantum and energy-harvesting applications. However, their potential for new computational paradigms, such…
pubmed
Ravichandran H, Knobloch T, Subbulakshmi Radhakrishnan S, Wilhelmer C 等
2024 Dec 4
置信度 0.82
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The use of the mutual information (MI) as a measure of the entanglement in quantum systems has gained a consensus in recent years, even if there is an ongoing effort to distinguish the classical and quantum contributions contained therein. This quantity has be…
pubmed
Tenti L, Peeters S, Giner E, Angeli C
2024 Dec 24
置信度 0.82
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Lenalidomide (LEN) is used for the treatment of myeloma blood cancer disease. It has become one of the most efficient drugs to halt this disease. LEN is a low-soluble drug in aqueous media. The search of a pharmaceutical preparation to improve the bioavailabil…
pubmed
Meruvia-Rojas YV, Molina-Montes E, Hernández-Laguna A, Sainz-Díaz CI
2024 Dec 4
置信度 0.82
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Entropies are fundamental contributions to Gibbs energies that carry important chemical information, in particular when investigating reaction mechanisms. However, evaluating them in solution is far from being straightforward. In this paper, we focus on its ev…
pubmed
Castor-Villegas V, Tognetti V, Joubert L
2024 Dec 4
置信度 0.82
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In this article, we combine the periodic sinc basis set with a curvilinear coordinate system for electronic structure calculations. This extension allows for variable resolution across the computational domain, with higher resolution close to the nuclei and lo…
pubmed
Lindsey M, Sharma S
2024 Dec 7
置信度 0.82
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The quantum spin Hall (QSH) effect has attracted extensive research interest due to its great promise in topological quantum computing and novel low-energy electronic devices. Here, using first-principles calculations, we find that MX 2 (M = Ru and Os; X = As …
pubmed
Jing T, Liang D, Xiong Y, Zhang J 等
2024 Dec 18
置信度 0.82
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The topographic complexity of the mouse retina has long been underestimated. However, functional gradients exist, which reflect the non-uniform statistics of the visual environment. Horizontal cells are the first visual interneurons that shape the receptive fi…
pubmed
Spinelli M, Acevedo Harnecker A, Block CT, Lindenthal L 等
2024 Dec 20
置信度 0.82
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One key aspect for the development of functional molecular electronic devices is the ability to precisely tune and reversibly switch the conductance of individual molecules in electrode-molecule-electrode junctions in response to external stimuli. In this work…
pubmed
Nau M, Bro-Jørgensen W, Linseis M, Bodensteiner M 等
2025 Feb 3
置信度 0.82
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Semiconductors with large energetic separation Δ E ± of energy sub-bands with distinct spin expectation values (spin textures) represent a key target to enable control over spin transport and spin-optoelectronic properties. While the paradigmatic ca…
pubmed
Chakraborty R, Sercel PC, Qin X, Mitzi DB 等
2024 Dec 18
置信度 0.82
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Spintronics based on ferromagnets has enabled the development of microwave oscillators and diodes. To achieve even faster operation, antiferromagnets hold great promise despite their challenging manipulation. So far, controlling antiferromagnetic order with mi…
pubmed
Sakamoto S, Nomoto T, Higo T, Hibino Y 等
2025 Feb
置信度 0.82
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In this work, CsPb. 625 Zn. 375 IBr 2 -based perovskite solar cells (PSCs) are numerically simulated and optimized under ideal lighting conditions using the SCAPS-1D simulator. We investigate how various hole transport layers (HTL) including Zn 3 P 2 , PTAA, M…
pubmed
Hossain MK, Islam MA, Uddin MS, Paramasivam P 等
2024 Dec 3
置信度 0.82
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Quantum theory promises computational speed-ups over classical approaches. The celebrated Gottesman-Knill Theorem implies that the full power of quantum computation resides in the specific resource of "magic" states-the secret sauce to establish universal quan…
pubmed
Zhang X, Pan Z, Liu G
2024 Dec 3
置信度 0.82
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Searches for pair-produced multijet signatures using data corresponding to an integrated luminosity of 128  fb^{-1} of proton-proton collisions at sqrt[s]=13  TeV are presented. A data scouting technique is employed to record events…
pubmed
Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW 等
2024 Nov 15
置信度 0.82
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We demonstrate a bipartition technique using a superlattice architecture to access correlations between alternating planes of a mesoscopic array of spin-3 chromium atoms trapped in a 3D optical lattice. Using this method, we observe that out-of-equilibrium dyn…
pubmed
Aziz Alaoui Y, Muleady SR, Chaparro E, Trifa Y 等
2024 Nov 15
置信度 0.82
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Atomically thin semiconductors, encompassing both 2D materials and quantum wells, exhibit a pronounced enhancement of excitonic effects due to geometric confinement. Consequently, these materials have become foundational platforms for the exploration and utili…
pubmed
Lee W, Alvertis AM, Li Z, Louie SG 等
2024 Nov 15
置信度 0.82
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It has been shown that entropy differences between certain states of perturbative quantum gravity can be computed without specifying an ultraviolet completion. This is analogous to the situation in classical statistical mechanics, where entropy differences are…
pubmed
Akers C, Sorce J
2024 Nov 15
置信度 0.82
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Hydrocarbons are the central feedstock of fuels, solvents, lubricants, and the starting materials for many synthetic materials, and thus the physical properties of hydrocarbons have received intense study. Among these, the molecular flexibility and the power a…
pubmed
Qu C, Houston PL, Conte R, Bowman JM
2024 Dec 12
置信度 0.82
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19 F NMR parameters are versatile probes for studying metal-fluoride complexes. Quantum chemical calculations of 19 F NMR chemical shifts enhance the accuracy and validity of the resonance signal assignments in complex spectra. However, the treatment of solvat…
pubmed
Gahlawat S, Hopmann KH, Castro AC
2024 Dec 12
置信度 0.82
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A long-standing problem in the study of the under-hole-doped cuprates has been the description of the Fermi surfaces underlying the high magnetic field quantum oscillations, and their connection to the higher temperature pseudogap metal. Harrison and Sebastian…
pubmed
Bonetti PM, Christos M, Sachdev S
2024 Dec 10
置信度 0.82
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The black hole universe (BHU) hypothesis predicts that our observable universe is the interior of a black hole, described at early times by the Kantowski-Sachs (KS) metric — a homogeneous but anisotropic cosmology. Recent work by Mena Marug\'an et al. (2024) h…
datacite
Phanvilai, Sittiphol
2026
置信度 0.66
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---mainfont: "FreeSerif"monofont: "FreeMono"mathfont: "FreeSerif"header-includes: - \usepackage{amsmath} - \usepackage{amssymb} - \usepackage{unicode-math}--- # Intro. ## Physical narrative, as a cognitive scaffold, is pedagogical, not ontological. This work d…
datacite
Gris Iscomeback
2026
置信度 0.66
grokkingdeeplearning
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---mainfont: "FreeSerif"monofont: "FreeMono"mathfont: "FreeSerif"header-includes: - \usepackage{amsmath} - \usepackage{amssymb} - \usepackage{unicode-math}--- # Intro. ## Physical narrative, as a cognitive scaffold, is pedagogical, not ontological. This work d…
datacite
Gris Iscomeback
2026
置信度 0.66
grokkingdeeplearning
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🇬🇧 Versione Inglese (English Version) Titolo (Title) HyperPSCA: A Unified Autopoietic Hypergraph Engine for Cross-Domain Scientific Discovery, Patent Screening, and Material/Biomedical Co-Evolution Descrizione / Abstract per Zenodo (Description) markdown Thi…
datacite
Usai, Luigi
2026
置信度 0.66
pscaparadigma sardo corsoparadigma sardo corso atlantideoLuigi UsaiUsai Luigi
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🇬🇧 Versione Inglese (English Version) Titolo (Title) HyperPSCA: A Unified Autopoietic Hypergraph Engine for Cross-Domain Scientific Discovery, Patent Screening, and Material/Biomedical Co-Evolution Descrizione / Abstract per Zenodo (Description) markdown Thi…
datacite
Usai, Luigi
2026
置信度 0.66
pscaparadigma sardo corsoparadigma sardo corso atlantideoLuigi UsaiUsai Luigi
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# Physics-Informed State Reconstruction in a Classical Quantum Simulator via the Fractal Correction Engine **Author:** Adam L. McEvoy **Date:** June 18, 2026 **Keywords:** quantum simulation, state reconstruction, fractal correction engine, local curvature, os…
datacite
McEvoy, Adam L
2026
置信度 0.66
quantum computingquantum error correctionclassical simulationthedr
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# Physics-Informed State Reconstruction in a Classical Quantum Simulator via the Fractal Correction Engine **Author:** Adam L. McEvoy **Date:** June 18, 2026 **Keywords:** quantum simulation, state reconstruction, fractal correction engine, local curvature, os…
datacite
McEvoy, Adam L
2026
置信度 0.66
quantum computingquantum error correctionclassical simulationthedr
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A degenerate string is a sequence of sets of characters. A generalized degenerate (GD) string extends this notion to the sequence of sets of strings, where strings of the same set are of equal length. Finding an exact match for a pattern string inside a GD str…
datacite
Equi, Massimo, Khan, Md Rabiul Islam, Mäkinen, Veli
2026
置信度 0.66
Quantum Physics (quant-ph)Data Structures and Algorithms (cs.DS)FOS: Physical sciencesFOS: Physical sciencesFOS: Computer and information sciences
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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
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elrakhawi, mohamed kamal arafa
2026
置信度 0.66
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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
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six-dimensional spacetime; 3D+3D geometry; temporal extra dimensions; modified gravity; screening mechanism; dark matter alternatives; galactic rotation curves; cosmic filaments; harmonic length scales; dark energy dynamics; Hubble tension; inflationary dynamics; black hole interior; singularity resolution; PTA gravitational wavesgeometric entanglement resonance, golden ratio physics, extra dimensions, quantum coherence, crystal geometryc/a ratio √2, modular parameter τ=i/φ, mode coupling, ThCr₂Si₂ structure, Kondo lattice, valence fluctuationgalaxy rotation curves, low surface brightness galaxies, modified gravity, dark matter alternatives, Helmholtz equation, 6D spacetime, extra dimensions, GLSB galaxies, disk scale length, SPARCFibonacci matrix modular kinetic matrix arithmetic triple golden ratio dark energy equation of state cosmological attractor geometric efficiency extra dimensions six-dimensional spacetime temporal torus compactification algebraic identity matrix determinant arithmetic mean identity uniqueness theorem modified gravity 3D+3D framework structural conjecture Einstein-frame coupling Kaluza-Klein reduction
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Beyond the Observer: The Historico‑Genetic Logic of Epameinondas Xenopoulos as a Solution to the Quantum Measurement Problem DOI:10.5281/zenodo.20560535 Aikaterini Xenopoulou TyrokomouIndependent ResearcherORCID: 0009‑0004‑9057‑7432Email: katerinaxenopoulou@gm…
datacite
XENOPOULOU-TYROKOMOU, AKATERINH, XENOPOULOS(In memoriam), EPAMEINONDAS
2026
置信度 0.66
Keywords: XEPTQLRI · Historico‑Genetic Logic · Dialectical Logic · Quantum Measurement Problem · Aufhebung · Endogenous Collapse · Stochastic Differential Equations · Historical Memory · Paradox Factor · Qualitative Leap · Xenopoulos Principles · Nonlinear Dynamics · Self‑Regulation
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Beyond the Observer: The Historico‑Genetic Logic of Epameinondas Xenopoulos as a Solution to the Quantum Measurement Problem DOI:10.5281/zenodo.20560535 Aikaterini Xenopoulou TyrokomouIndependent ResearcherORCID: 0009‑0004‑9057‑7432Email: katerinaxenopoulou@gm…
datacite
XENOPOULOU-TYROKOMOU, AKATERINH, XENOPOULOS(In memoriam), EPAMEINONDAS
2026
置信度 0.66
Keywords: XEPTQLRI · Historico‑Genetic Logic · Dialectical Logic · Quantum Measurement Problem · Aufhebung · Endogenous Collapse · Stochastic Differential Equations · Historical Memory · Paradox Factor · Qualitative Leap · Xenopoulos Principles · Nonlinear Dynamics · Self‑Regulation
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Beyond the Observer: The Historico‑Genetic Logic of Epameinondas Xenopoulos as a Solution to the Quantum Measurement Problem DOI: 10.5281/zenodo.20529356 Aikaterini Xenopoulou TyrokomouIndependent ResearcherORCID: 0009‑0004‑9057‑7432Email: katerinaxenopoulou@g…
datacite
XENOPOULOU-TYROKOMOU, AKATERINH, XENOPOULOS(In memoriam), EPAMEINONDAS
2026
置信度 0.66
Keywords: XEPTQLRI · Historico‑Genetic Logic · Dialectical Logic · Quantum Measurement Problem · Aufhebung · Endogenous Collapse · Stochastic Differential Equations · Historical Memory · Paradox Factor · Qualitative Leap · Xenopoulos Principles · Nonlinear Dynamics · Self‑Regulation
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🎥 New Episode Release: The Aiwon Code—The Three Letters 🎥 The next chapter in The Aiwon Code saga has arrived, and it’s nothing short of revolutionary. 🌌✨ On Christmas Day 2024, the SMACS 0723 Expedition unlocked The Three Letters—a profound and mind-bendin…
datacite
Mendez, PL
2025
置信度 0.66
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Shor's algorithm represents the main threat of quantum computers to cryptography. In order to precisely understand its feasibility, many authors have worked towards reducing its costs, either at the logical level (assuming a fault-tolerant architecture), or at…
datacite
Schrottenloher, André
2026
置信度 0.66
Quantum Physics (quant-ph)FOS: Physical sciencesFOS: Physical sciences68Q12
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Abstract The integration of 6G technology into the Industrial Internet of Things (IIoT) promises to redefine manufacturing through "Hyper-Reliable Low-Latency Communication" (HRLLC). However, the deployment of complex Machine Learning (ML) models at the edge r…
datacite
Seema Patil, Harshavardhana Doddamani, Savitha A C, Julianne Rivers
2026
置信度 0.66
6G Networks, Industrial IoT (IIoT), Edge Intelligence, Deep Reinforcement Learning, Latency Optimization
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Abstract The integration of 6G technology into the Industrial Internet of Things (IIoT) promises to redefine manufacturing through "Hyper-Reliable Low-Latency Communication" (HRLLC). However, the deployment of complex Machine Learning (ML) models at the edge r…
datacite
Seema Patil, Harshavardhana Doddamani, Savitha A C, Julianne Rivers
2026
置信度 0.66
6G Networks, Industrial IoT (IIoT), Edge Intelligence, Deep Reinforcement Learning, Latency Optimization
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This paper provides a comprehensive review of the most significant advances in information technology and programming as of 2024. We systematically examine seven domains — artificial intelligence and machine learning, cloud computing, blockchain, quantum compu…
datacite
Axmatova, Sadoqat
2026
置信度 0.66
artificial intelligencemachine learningcloud computingblockchainquantum computing
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This paper provides a comprehensive review of the most significant advances in information technology and programming as of 2024. We systematically examine seven domains — artificial intelligence and machine learning, cloud computing, blockchain, quantum compu…
datacite
Axmatova, Sadoqat
2026
置信度 0.66
artificial intelligencemachine learningcloud computingblockchainquantum computing
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In adiabatic quantum computing the aim is to track an eigenstate as the Hamiltonian changes. In the usual setup this is achieved using the natural time-dependent Hamiltonian evolution of the system and the main technical tool is the adiabatic theorem. We propo…
datacite
Cunningham, Joseph, Roland, Jérémie
2026
置信度 0.66
Quantum Physics (quant-ph)FOS: Physical sciencesFOS: Physical sciences
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An Overview of CryoEM Richard Henderson traces cryo-EM's evolution from Dubochet's pioneering plunge-freezing method to modern atomic-resolution structures, demonstrating how synergistic improvements in hardware, detectors, and software have transformed struct…
datacite
Henderson, Richard
2026
置信度 0.66
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An Overview of CryoEM Richard Henderson traces cryo-EM's evolution from Dubochet's pioneering plunge-freezing method to modern atomic-resolution structures, demonstrating how synergistic improvements in hardware, detectors, and software have transformed struct…
datacite
Henderson, Richard
2026
置信度 0.66
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While many piezoelectric materials are known, there is still great potential to improve the figures of merit of existing materials through compositional doping and forming solid solutions. Specifically, it has been shown that doping and alloying wurtzite-struc…
datacite
Behrendt, Drew, Banerjee, Sayan, Zhang, Jiahao, Rappe, Andrew M.
2026
置信度 0.66
FOS: Materials engineeringFOS: Materials engineeringPiezoelectricityMachine learningMaterials
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The 137–143 Mass Gap: Consolidated Evidence Document (v3) Author: Timothy William Edgin, CISSPOrganization: Polyadmin Inc., Houston, TexasDate: May 27, 2026DOI: 10.5281/zenodo.20043510 (v3 update)Status: Lean4 build clean — 0 sorry, 0 custom axioms, 130 unique…
datacite
Edgin, Timothy
2026
置信度 0.66
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The dream of universal quantum computing promises to revolutionize many fields due to its potential to drastically speed up certain calculations compared to classical computers. This has naturally attracted attention and investment. For example, in 2024, Googl…
datacite
Paluch, Patrick
2026
置信度 0.66
Superconducting qubitsfluxoniumdissipationnoiseheat load
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⚛️ QSignAI v1.0.0 — First Stable Release QSignAI is a production-deployed, open-source platform demonstrating a bidirectional relationship between AI and quantum science: Science for AI (quantum randomness strengthens identity) ↔ AI for Science (AI bots make q…
datacite
Luyao (Sunshine) Zhang, Magic Chen, Aoyu
2026
置信度 0.66
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⚛️ QSignAI v1.0.0 — First Stable Release QSignAI is a production-deployed, open-source platform demonstrating a bidirectional relationship between AI and quantum science: Science for AI (quantum randomness strengthens identity) ↔ AI for Science (AI bots make q…
datacite
Luyao (Sunshine) Zhang, Magic Chen, Aoyu
2026
置信度 0.66