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computational-physics
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computational-physics
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· documents ABOUT computational-physics across the archive
659
Documents about computational-physics
Documents about computational-physics
Impact of Data Loss in Postprocessing on Training and Inference of Quantum Neural Networks
#972012
arXiv (All)
HiPoly: a hierarchical polymer-native AI framework for property prediction and generative design
#972350
arXiv (All)
Deployable, Modular, and Reconfigurable: Computational Design of Umbrella Meshes
#177918
Infoscience
Lowest-known Energy Configuration of $N=100\,000$ Coulomb Charges in a Disk: Breaking the $10^{5}$ Barrier
#1051126
arXiv (All)
Sinc Kolmogorov-Arnold Network and Its Applications on Physics-informed Neural Networks
#179083
arXiv (OAI)
Vorticity Packing Effects on Long Time Turbulent Transport in Decaying Two-Dimensional Incompressible Navier-Stokes Fluids
#189344
arXiv (OAI)
Functional Connectivity Networks for Transportation Delay Analysis: from Theory to Software
#609825
arXiv (All)
Paradoxical constitutive law between donor O-H bond length and its stretching frequency in water dimer
#611221
arXiv (OAI Expanded)
Paradoxical constitutive law between donor O-H bond length and its stretching frequency in water dimer
#612698
arXiv (All)
SimulCost: A Cost-Aware Benchmark and Toolkit for Automating Physics Simulations with LLMs
#617500
arXiv (OAI Expanded)
SimulCost: A Cost-Aware Benchmark and Toolkit for Automating Physics Simulations with LLMs
#618000
arXiv (All)
Charge order on a triangular lattice with Mott physics and arbitrary charge density
#633488
arXiv (OAI Expanded)
Charge order on a triangular lattice with Mott physics and arbitrary charge density
#635837
arXiv (All)
A Framework Integrating the Dynamic Stiffness Matrix with Physics-Informed Neural Networks for Solving Eigenvalue Problems and Analysing Dynamic Response
#788928
arXiv (OAI Expanded)
A Framework Integrating the Dynamic Stiffness Matrix with Physics-Informed Neural Networks for Solving Eigenvalue Problems and Analysing Dynamic Response
#792932
arXiv (All)
How Sparse and How Noisy? Systematic Benchmarking of Inverse Physics-Informed Neural Networks for Manning Friction Estimation in Shallow Water Equations
#821921
arXiv (All)
Hydrogen-helium immiscibility boundary in gas-giant planetary interiors from machine-learning molecular dynamics
#919837
arXiv (OAI Expanded)
Hydrogen-helium immiscibility boundary in gas-giant planetary interiors from machine-learning molecular dynamics
#924066
arXiv (All)
Electrostatic Correlation Augmented Self-Consistent Field Theory and Its Application to Polyelectrolyte Brushes
#997913
arXiv (All)
Quantifying the Critical Micelle Concentration of Nonionic and Ionic Surfactants by Self-Consistent Field Theory
#997937
arXiv (All)
Real-Time SiPM Pulse Deconvolution for a High-granularity Dual-readout Calorimeter with Neutral Networks
#1036952
arXiv (All)
Efficient single-precision simulations of nematohydrodynamics
#131295
arXiv (OAI)
Quantifying Quantum Computational Advantage on a Processor of Ultracold Atoms
#139045
arXiv (OAI)
Maximum Separation of Quantum Communication Complexity With and Without Shared Entanglement
#149279
arXiv (OAI)
A Cartesian grid-based boundary integral method for moving interface problems
#155457
arXiv (OAI)
Improving Cluster Expansion Efficiency and Generalizability
#390802
BYU ScholarsArchive
Learning Spin Hamiltonians from Terahertz Two-Dimensional Coherent Spectroscopy
#609625
arXiv (All)
Higher order stray field computation on tensor product domains
#920199
arXiv (OAI Expanded)
Higher order stray field computation on tensor product domains
#924430
arXiv (All)
Separating QMA from QCMA with a classical oracle
#925851
arXiv (All)
Deep Learning-Driven Peptide Classification in Biological Nanopores
#927160
arXiv (All)
Drift Correction of Scan Images by Snapshot Referencing
#973138
arXiv (All)
Molecular Simulation Frameworks for Mechanistic Investigation of Complex Nanomaterials
#983499
eScholarship
Beyond Residuals: Energy based solutions of partial differential equations using scientific machine learning
#985611
arXiv (All)
Van der Waals interactions in supercritical water under Earth's mantle conditions
#1011877
arXiv (All)
Linear Algebra of Generalized Contextuality in All Prepare-Transform-Measure Scenarios
#1012286
arXiv (All)
Ladder of information limits on prediction for reduced-order models
#1014018
arXiv (All)
Efficient Quantum Voting with Information-Theoretic Security
#1014435
arXiv (All)
Achieving perfect completeness for one- and two-message quantum proof systems
#1014848
arXiv (All)
On quantum functionals for higher-order tensors
#1035470
arXiv (All)
TubeLab: Interactive inverse design of wind instrument bores with hard spectral constraints
#1037151
arXiv (All)
Topology optimization of low-temperature type-II superconductors with superconductor-dielectric/vacuum interfaces based on Ginzburg-Landau theory under Weyl gauge
#613949
arXiv (OAI Expanded)
Topology optimization of low-temperature type-II superconductors with superconductor-dielectric/vacuum interfaces based on Ginzburg-Landau theory under Weyl gauge
#614916
arXiv (All)
Learning-Performance Evaluation of a Physical Reservoir Based on a Vortex Spin-Torque Oscillator with a Modified Free Layer
#633408
arXiv (OAI Expanded)
Learning-Performance Evaluation of a Physical Reservoir Based on a Vortex Spin-Torque Oscillator with a Modified Free Layer
#635757
arXiv (All)
Physics-informed machine learning for advancing computational medical imaging: integrating data-driven approaches with fundamental physical principles
#679113
OpenAlex
Solving the Incompressible Navier-Stokes Equations on Oriented Curved Surfaces Discretized by Point Clouds
#809683
arXiv (OAI Expanded)
Solving the Incompressible Navier-Stokes Equations on Oriented Curved Surfaces Discretized by Point Clouds
#819679
arXiv (All)
Data-Driven Reconstruction of Spatially Resolved Electron and Ion Energy Distributions from Macroscopic Plasma Quantities with Deep Neural Networks
#622831
arXiv (OAI Expanded)
Data-Driven Reconstruction of Spatially Resolved Electron and Ion Energy Distributions from Macroscopic Plasma Quantities with Deep Neural Networks
#625104
arXiv (All)
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