3 citations · 5 across the 2 of their papers we have counts for
2 papers
math.NA2025★ 2 cited
Approximation Theory and Applications of Randomized Neural Networks for Solving High-Dimensional PDEs
T. De Ryck, S. Mishra, Y. Shang +1
We present approximation results and numerical experiments for the use of randomized neural networks within physics-informed extreme learning machines to efficiently solve high-dim…
physics.app-ph2024★ 3 cited
Phase-Field Modeling of Fracture with Physics-Informed Deep Learning
M. Manav, R. Molinaro, S. Mishra +1
We explore the potential of the deep Ritz method to learn complex fracture processes such as quasistatic crack nucleation, propagation, kinking, branching, and coalescence within t…