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INI-VPINN: A Variational Physics-Informed Neural Network with Implicit Neumann and Interface Handling for Multi-Material Domains with Geometric Singularities
Arxiv
0+阅读 · 6月16日
Petrov-Galerkin Variational Physics-Informed Neural Network Framework for Two-Dimensional Singularly Perturbed Problems
Arxiv
0+阅读 · 6月15日
Dual-Network PINNs for Optimal Control: A Reproducible Benchmark on the Mass-Spring-Damper System
Arxiv
0+阅读 · 6月13日
Enhancing Physics-Informed Neural Networks Through Feature Engineering
Enhancing Physics-Informed Neural Networks Through Feature Engineering
Arxiv
0+阅读 · 6月15日
Manifold-Orthogonal Dual-spectrum Extrapolation for Parameterized Physics-Informed Neural Networks
Arxiv
0+阅读 · 6月15日
Accelerating physics-informed neural networks for full waveform inversion using a hybrid quantum-classical finite-basis architecture
Arxiv
0+阅读 · 6月15日
Physics-Informed Neural Networks for Chemotherapy Pharmacokinetics: Benchmarking the Clinical Estimator and Exposing Parameter Identifiability
Arxiv
0+阅读 · 6月10日
Oscillatory State-Space Models as Inductive Biases for Physics-Informed Neural PDE Solvers
Arxiv
0+阅读 · 5月29日
Physics-Informed Neural Networks for Radial Consolidation of Combined Electroosmotic, Vacuum and Surcharge Preloading Considering Smear Effects
Arxiv
0+阅读 · 5月18日
Physics-Informed Neural Networks and Radial Basis Functions for PDEs with Dirac Delta Sources
Arxiv
0+阅读 · 6月10日
Physics-informed neural networks for form-finding of unilateral membrane structures
Arxiv
0+阅读 · 4月21日
PINNsur: Physics-Informed Neural Networks for PDEs on Curved Surfaces
Arxiv
0+阅读 · 5月26日
PINNfluence: Interpreting PINNs through Influence Functions
Arxiv
0+阅读 · 6月2日
Error Estimation for Physics-informed Neural Networks Approximating Semilinear Wave Equations
Arxiv
0+阅读 · 3月27日
Physics-Informed Neural Networks for Biological $2\mathrm{D}{+}t$ Reaction-Diffusion Systems
Arxiv
0+阅读 · 4月20日
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