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computation

GeneTech 知识引擎共收录 166 篇相关科研实体，横跨 19 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• Research on fatigue crack propagation life prediction model based on Kriging method
  2026 · 碳中和与 CCUS · Abstract Microcracks, commonly found in mechanical structures, critically influence component integrity and service life through their evolution under cyclic loading, which exhibits strong nonlinearity and path dependenc…
• A digital twin-driven computation and analysis framework for low-altitude airspace.
  2026 · 数字孪生 · This study aims to address critical challenges in low-altitude airspace management, including high dynamic complexity, substantial safety hazards, and information fragmentation, and proposes a digital twin-enabled comput…
• A Digital Twin-Driven Computation and Analysis Framework for Low-Altitude Airspace
  2026 · 数字孪生 · Abstract To address key challenges in low-altitude airspace management, such as high dynamic complexity, significant safety risks, and information fragmentation, a digital twin-based methodology for low-altitude airspace…
• Quantum-Centric Alchemical Free Energy Calculations
  2026 · 量子材料 · In this work, we extended the book-ending framework with a hybrid quantum-classical workflow that incorporates configuration interaction (CI) calculations into alchemical free energy (AFE) predictions. In the book-ending…
• Generative AI for Geospatial Analysis: Fine-Tuning ChatGPT to Convert Natural Language into Python-Based Geospatial Computations
  2025 · AI 安全与对齐 · This study investigates the potential of fine-tuned large language models (LLMs) to enhance geospatial intelligence by translating natural language queries into executable Python code. Traditional GIS workflows, while ef…
• A focused review on numerical computation in wire arc additive manufacturing for high strength low alloy steels: past insights and potential opportunities
  2025 · 数字孪生 · Wire Arc Additive Manufacturing (WAAM) has emerged as a transformative technology in Metal Additive Manufacturing (MAM), offering significant advantages for fabricating large, complex metal structures that are often diff…
• UAV-Assisted Federated Learning With Robust Resource and Trajectory Optimization Under Location Uncertainties
  2025 · 隐私计算与数据要素 · Federated learning (FL) has emerged as a promising solution to facilitate the deployment of artificial intelligence (AI) on wireless devices. However, heterogeneity of wireless devices, including disparities in computati…
• Beyond-classical computation in quantum simulation
  2025 · 量子计算 · Quantum computers hold the promise of solving certain problems that lie beyond the reach of conventional computers. However, establishing this capability, especially for impactful and meaningful problems, remains a centr…
• Vector analog computing via on-demand metasurface dispersive polarization transformation
  2025 · 量子计算 · Optical analog computing can potentially feature high-throughput parallel processing with ultralow power and high speed and is promising for efficient signal processing. Previous platforms have mainly focused on scalar c…
• Addendum: Gravitational memory: new results from post-Newtonian and self-force theory (2025 Class. Quantum Grav. 42 135009)
  2025 · 量子计算 · Abstract In Cunningham et al (2025 Class. Quantum Grav. 42 135009), we made use of the recent completion of the oscillatory piece of the waveform at third-and-a-half post-Newtonian (3.5PN) order (Henry 2023 Phys. Rev. D …
• Constructing a bridge between functioning of oscillatory neuronal networks and quantum-like cognition along with quantum-inspired computation and AI
  2025 · 量子计算 · Quantum-like (QL) modeling, one of the outcomes of the quantum information revolution, extends quantum theory methods beyond physics to decision theory and cognitive psychology. While effective in explaining paradoxes in…
• Aitomia: Your Intelligent Assistant for AI-Driven Atomistic and Quantum Chemical Simulations
  2025 · 量子材料 · We have developed Aitomia - a platform powered by AI to assist in performing AI-driven atomistic and quantum chemical (QC) simulations. This evolving intelligent assistant platform is equipped with chatbots and AI agents…
• Integrated mechanical computing for autonomous soft machines
  2024 · 生物计算 · Mechanical computing offers a new modality to formulate computational autonomy in intelligent matter or machines without any external powering or active elements. Transition (or solitary) waves, induced by nonreciprocity…
• Experimental Demonstration of Reservoir Computing with Self‐Assembled Percolating Networks of Nanoparticles
  2024 · 生物计算 · The complex self-assembled network of neurons and synapses that comprises the biological brain enables natural information processing with remarkable efficiency. Percolating networks of nanoparticles (PNNs) are complex s…
• Thermodynamic computing via autonomous quantum thermal machines
  2024 · 生物计算 · We develop a physics-based model for classical computation based on autonomous quantum thermal machines. These machines consist of few interacting quantum bits (qubits) connected to several environments at different temp…
• A photonics perspective on computing with physical substrates
  2024 · 生物计算 · We provide a perspective on the fundamental relationship between physics and computation, exploring the conditions under which a physical system can be harnessed for computation and the practical means to achieve this. U…
• ACTION: Augmentation and computation toolbox for brain network analysis with functional MRI
  2024 · 仿生智能 · Functional magnetic resonance imaging (fMRI) has been increasingly employed to investigate functional brain activity. Many fMRI-related software/toolboxes have been developed, providing specialized algorithms for fMRI an…
• Physics-informed shape optimization using coordinate projection
  2024 · 碳中和与 CCUS · The rapid growth of artificial intelligence is revolutionizing classical engineering society, offering novel approaches to material and structural design and analysis. Among various scientific machine learning techniques…
• Analysis and performance evaluation of computation models for node localization in deep sea using UWSN
  2024 · 深海科技 · Summary Underwater wireless sensor network (UWSN) connects the real world to the hidden resources available deep into the sea using sensor nodes deployed sparsely and are interconnected to gather information for any move…
• LLM-Twin: mini-giant model-driven beyond 5G digital twin networking framework with semantic secure communication and computation
  2024 · 数字孪生 · Beyond 5G networks provide solutions for next-generation communications, especially digital twins networks (DTNs) have gained increasing popularity for bridging physical and digital space. However, current DTNs pose some…
• JARVIS3: an efficient encoder for genomic data
  2024 · 基因技术工具 · MOTIVATION: Large-scale genomic projects grapple with the complex challenge of reducing medium- and long-term storage space and its associated energy consumption, monetary costs, and environmental footprint. RESULTS: We …
• Emergent digital bio-computation through spatial diffusion and engineered bacteria
  2024 · 类脑计算 · Biological computing is a promising field with potential applications in biosafety, environmental monitoring, and personalized medicine. Here we present work on the design of bacterial computers using spatial patterning …
• Quantum Computing: Navigating the Future of Computation, Challenges, and Technological Breakthroughs
  2024 · 量子计算 · Quantum computing stands at the precipice of technological revolution, promising unprecedented computational capabilities to tackle some of humanity’s most complex problems. The field is highly collaborative and recent d…
• Thermodynamic computing via autonomous quantum thermal machines
  2024 · 量子计算 · We develop a physics-based model for classical computation based on autonomous quantum thermal machines. These machines consist of few interacting quantum bits (qubits) connected to several environments at different temp…
• Fault-Tolerant Quantum Computation by Hybrid Qubits with Bosonic Cat Code and Single Photons
  2024 · 量子计算 · Hybridizing different degrees of freedom or physical platforms potentially offers various advantages in building scalable quantum architectures. Here, we introduce a fault-tolerant hybrid quantum computation by building …
• Introducing quantum information and computation to a broader audience with MOOCs at OpenHPI
  2024 · 量子材料 · Abstract Quantum computing is an exciting field with high disruptive potential, but very difficult to access. For this reason, many approaches to teaching quantum computing are being developed worldwide. This always rais…
• Neuromorphic one-shot learning utilizing a phase-transition material
  2024 · 量子材料 · Design of hardware based on biological principles of neuronal computation and plasticity in the brain is a leading approach to realizing energy- and sample-efficient AI and learning machines. An important factor in selec…
• Estimation of Electrical Conductivity of Molten Multicomponent Slag by Neural Network Computation
  2023 · 地外矿物 · Information on the electrical conductivity of high-temperature molten oxides can be used as very useful information not only for conventional metallurgical processes on the Earth, but also for the development of extrater…
• A Graph Neural Network Learning Approach to Optimize RIS-Assisted Federated Learning
  2023 · 边缘智能 · Over-the-air federated learning (FL) is a promising privacy-preserving edge artificial intelligence paradigm, where over-the-air computation enables spectral-efficient model aggregation by achieving simultaneous communic…
• SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World
  2023 · 类脑计算 · In this paper, we propose SpikingNeRF, which aligns the temporal dimension of spiking neural networks (SNNs) with the radiance rays, to seamlessly accommodate SNNs to the reconstruction of neural radiance fields (NeRF). …
• Quantum computing applications for Internet of Things
  2023 · 量子计算 · Abstract The rapidly developing discipline of quantum computing (QC) employs ideas from quantum physics to improve the performance of traditional computers and other devices. Because of the dramatically improved speed at…
• Development of a Physics-Based Digital Twin Framework for a 3 MW Class Wind Turbine
  2026 · 数字孪生 · The increasing size and complexity of wind turbines have intensified the need for reliable real-time condition monitoring and health assessment. However, conventional numerical models often involve high computational dem…
• The Metabolic A Priori: Field Ontology, Active Forgetting, and the Structural Limits of Computation
  2026 · 具身智能 · This paper demonstrates that the foundational contradictions afflicting contemporary physics, cognitive science, and artificial intelligence share a common structure: each paradigm assumes discrete, separable, local stru…
• The Metabolic A Priori: Field Ontology, Active Forgetting, and the Structural Limits of Computation
  2026 · 具身智能 · This paper demonstrates that the foundational contradictions afflicting contemporary physics, cognitive science, and artificial intelligence share a common structure: each paradigm assumes discrete, separable, local stru…
• Time and Memory Trade-Offs in Shortest-Path Algorithms Across Graph Topologies: A*, Bellman–Ford, Dijkstra, AI-Augmented A* and a Neural Baseline
  2025 · AI 安全与对齐 · This study presents a comparative evaluation of Dijkstra’s algorithm, A*, Bellman-Ford, AI-Augmented A* and a neural AI-based model for shortest-path computation across diverse graph topologies, with a focus on time effi…
• Distance-dependent connectivity in the brain facilitates high dynamical and structural complexity
  2025 · 仿生智能 · Recent experiments have revealed that the inter-regional connectivity of the cerebral cortex exhibits strengths spanning over several orders of magnitude and decaying with distance. We demonstrate this to be a fundamenta…
• FedEff: efficient federated learning with optimal local epochs for heterogeneous clients.
  2025 · 隐私计算与数据要素 · Federated Learning (FL) enables collaborative model training without centralized data sharing; however, its efficiency often degrades under system and statistical heterogeneity across clients. Increasing the number of lo…
• A Gaussian process regression‐based surrogate model of the varying workpiece dynamics for chatter prediction in milling of thin‐walled structures
  2022 · 数字孪生 · Abstract Since the dynamics of thin‐walled structures instantaneously varies during the milling process, accurate and efficient prediction of the in‐process workpiece (IPW) dynamics is critical for the prediction of chat…
• Quantum Computers: A Review on How Quantum Computing Can Boom AI
  2022 · 量子计算 · The 20thcentury witnessed Albert Einstein offering a quantum-based theory - one whose rules contrast from those of the physical world - one which described the nature of atomic and sub-atomic particles. As time progresse…
• DNA Computing: Principle, Construction, and Applications in Intelligent Diagnostics
  2021 · 生物计算 · Demands on faster information processing speed and denser data storage are catalyzing new computation modes. DNA, as an important biomolecule that carries genetic information, has shown its potential in information proce…
• Limitations in Quantum Computing from Resource Constraints
  2021 · 量子计算 · Fault-tolerant schemes can use error correction to make a quantum computation arbitrarily accurate, provided that errors per physical component are smaller than a certain threshold and independent of the computer size. H…
• Quantum equation of motion for computing molecular excitation energies on a noisy quantum processor
  2020 · 生物计算 · The computation of molecular excitation energies is essential for predicting photo-induced reactions of chemical and technological interest. While the classical computing resources needed for this task scale poorly, quan…
• Towards online adaptation of digital twins
  2020 · 数字孪生 · Abstract Digital twins have gained a lot of attention in modern day industry, but practical challenges arise from the requirement of continuous and real-time data integration. The actual physical systems are also exposed…
• Quantum equation of motion for computing molecular excitation energies on a noisy quantum processor
  2020 · 量子计算 · The computation of molecular excitation energies is essential for predicting photo-induced reactions of chemical and technological interest. While the classical computing resources needed for this task scale poorly, quan…
• Computation of biological conductance with Liouville quantum master equation
  2024 · 量子材料 · Recent experiments have revealed that single proteins can display high conductivity, which stays finite for low temperatures, decays slowly with distance, and exhibits a rich spatial structure featuring highly conducting…
• Evaluating analytic gradients on quantum hardware
  2019 · 量子计算 · An important application for near-term quantum computing lies in optimization tasks, with applications ranging from quantum chemistry and drug discovery to machine learning. In many settings, most prominently in so-calle…
• Something has to give: scaling combinatorial computing by biological agents exploring physical networks encoding NP-complete problems
  2018 · 生物计算 · On-chip network-based computation, using biological agents, is a new hardware-embedded approach which attempts to find solutions to combinatorial problems, in principle, in a shorter time than the fast, but sequential el…
• A retrospective evaluation of automated optimization of deep brain stimulation parameters
  2018 · 仿生智能 · Abstract Objective We performed a retrospective analysis of an optimization algorithm for the computation of patient-specific multipolar stimulation configurations employing multiple independent current/voltage sources. …
• Terrain Matching Localization for Underwater Vehicle Based on Gradient Fitting
  2018 · 深海科技 · Terrain matching positioning is a promising method to overcome the problem that the inertial navigation error of the underwater vehicle accumulates over time. In the conventional terrain matching method, all measurement …
• A Nanotechnology-Ready Computing Scheme based on a Weakly Coupled Oscillator Network
  2017 · 生物计算 · With conventional transistor technologies reaching their limits, alternative computing schemes based on novel technologies are currently gaining considerable interest. Notably, promising computing approaches have propose…
• Achieving quantum supremacy with sparse and noisy commuting quantum computations
  2017 · 量子计算 · The class of commuting quantum circuits known as IQP (instantaneous quantum polynomial-time) has been shown to be hard to simulate classically, assuming certain complexity-theoretic conjectures. Here we study the power o…
• An efficient SpiNNaker implementation of the Neural Engineering Framework
  2015 · 仿生智能 · By building and simulating neural systems we hope to understand how the brain may work and use this knowledge to build neural and cognitive systems to tackle engineering problems. The Neural Engineering Framework (NEF) i…
• Quantum computations on a topologically encoded qubit
  2014 · 量子计算 · The construction of a quantum computer remains a fundamental scientific and technological challenge because of the influence of unavoidable noise. Quantum states and operations can be protected from errors through the us…
• Exponential rise of dynamical complexity in quantum computing through projections
  2014 · 量子计算 · The ability of quantum systems to host exponentially complex dynamics has the potential to revolutionize science and technology. Therefore, much effort has been devoted to developing of protocols for computation, communi…
• DNA Reservoir Computing: A Novel Molecular Computing Approach
  2013 · 生物计算 · We propose a novel molecular computing approach based on reservoir computing. In reservoir computing, a dynamical core, called a reservoir, is perturbed with an external input signal while a readout layer maps the reserv…
• A theoretical and experimental study of neuromorphic atomic switch networks for reservoir computing
  2013 · 生物计算 · Atomic switch networks (ASNs) have been shown to generate network level dynamics that resemble those observed in biological neural networks. To facilitate understanding and control of these behaviors, we developed a nume…
• Demonstration of Blind Quantum Computing
  2012 · 量子计算 · Quantum computers, besides offering substantial computational speedups, are also expected to preserve the privacy of a computation. We present an experimental demonstration of blind quantum computing in which the input, …
• Surface codes: Towards practical large-scale quantum computation
  2012 · 量子计算 · This article provides an introduction to surface code quantum computing. We first estimate the size and speed of a surface code quantum computer. We then introduce the concept of the stabilizer, using two qubits, and ext…
• Collective chaos in pulse-coupled neural networks
  2010 · AI 安全与对齐 · We study the dynamics of two symmetrically coupled populations of identical leaky integrate-and-fire neurons characterized by an excitatory coupling. Upon varying the coupling strength, we find symmetry-breaking transiti…
• RMieS‐EMSC correction for infrared spectra of biological cells: Extension using full Mie theory and GPU computing
  2010 · 生物计算 · In the field of biomedical infrared spectroscopy it is often desirable to obtain spectra at the cellular level. Samples consisting of isolated single biological cells are particularly unsuited to such analysis since cell…

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