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Kernel-Adaptive PI-ELMs for Forward and Inverse Problems in PDEs with Sharp Gradients
v1v2 (latest)

Kernel-Adaptive PI-ELMs for Forward and Inverse Problems in PDEs with Sharp Gradients

14 July 2025
Vikas Dwivedi
Balaji Srinivasan
Monica Sigovan
Bruno Sixou
ArXiv (abs)PDFHTML

Papers citing "Kernel-Adaptive PI-ELMs for Forward and Inverse Problems in PDEs with Sharp Gradients"

3 / 3 papers shown
Title
AB-PINNs: Adaptive-Basis Physics-Informed Neural Networks for Residual-Driven Domain Decomposition
AB-PINNs: Adaptive-Basis Physics-Informed Neural Networks for Residual-Driven Domain Decomposition
Jonah Botvinick-Greenhouse
Wael H. Ali
M. Benosman
S. Mowlavi
AI4CE
119
0
0
10 Oct 2025
Deep vs. Shallow: Benchmarking Physics-Informed Neural Architectures on the Biharmonic Equation
Deep vs. Shallow: Benchmarking Physics-Informed Neural Architectures on the Biharmonic Equation
Akshay Govind Srinivasan
Vikas Dwivedi
Balaji Srinivasan
96
0
0
06 Oct 2025
Gated X-TFC: Soft Domain Decomposition for Forward and Inverse Problems in Sharp-Gradient PDEs
Gated X-TFC: Soft Domain Decomposition for Forward and Inverse Problems in Sharp-Gradient PDEs
Vikas Dwivedi
Enrico Schiassi
Monica Sigovan
Bruno Sixou
88
0
0
01 Oct 2025
1