#Computational Physics
Latest news articles tagged with "Computational Physics". Follow the timeline of events, related topics, and entities.
Articles (6)
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🇺🇸 Physics-Informed Long-Range Coulomb Correction for Machine-learning Hamiltonians
[USA]
arXiv:2603.20007v1 Announce Type: cross Abstract: Machine-learning electronic Hamiltonians achieve orders-of-magnitude speedups over density-functional theory, yet current models omit long-range Coul...
Related: #Machine Learning -
🇺🇸 UniPINN: A Unified PINN Framework for Multi-task Learning of Diverse Navier-Stokes Equations
[USA]
arXiv:2603.10466v1 Announce Type: cross Abstract: Physics-Informed Neural Networks (PINNs) have shown promise in solving incompressible Navier-Stokes equations, yet existing approaches are predominan...
Related: #Machine Learning, #Fluid Dynamics -
🇺🇸 FourierSpecNet: Neural Collision Operator Approximation Inspired by the Fourier Spectral Method for Solving the Boltzmann Equation
[USA]
arXiv:2504.20408v2 Announce Type: replace-cross Abstract: The Boltzmann equation, a fundamental model in kinetic theory, describes the evolution of particle distribution functions through a nonlinear...
Related: #Machine Learning -
🇺🇸 Learning Where the Physics Is: Probabilistic Adaptive Sampling for Stiff PDEs
[USA]
arXiv:2603.06287v1 Announce Type: cross Abstract: Modeling stiff partial differential equations (PDEs) with sharp gradients remains a significant challenge for scientific machine learning. While Phys...
Related: #Machine Learning -
🇺🇸 Universal Fine-Grained Symmetry Inference and Enforcement for Rigorous Crystal Structure Prediction
[USA]
arXiv:2602.17176v1 Announce Type: cross Abstract: Crystal structure prediction (CSP), which aims to predict the three-dimensional atomic arrangement of a crystal from its composition, is central to m...
Related: #Materials Science, #Artificial Intelligence, #Crystallography, #Generative Modeling -
🇺🇸 Lagged backward-compatible physics-informed neural networks for unsaturated soil consolidation analysis
[USA]
arXiv:2602.07031v1 Announce Type: cross Abstract: This study develops a Lagged Backward-Compatible Physics-Informed Neural Network (LBC-PINN) for simulating and inverting one-dimensional unsaturated ...
Related: #Artificial Intelligence, #Geotechnical Engineering
Key Entities (1)
- Boltzmann equation (1 news)
About the topic: Computational Physics
The topic "Computational Physics" aggregates 6+ news articles from various countries.