3 citations · 3 across the 2 of their papers we have counts for
2 papers
math.NA2026
Randomized Neural Networks for Integro-Differential Equations with Application to Neutron Transport
Haoning Dang, Fei Wang, Yifan Chen +3
Integro-differential equations arise in a wide range of applications, including transport, kinetic theory, radiative transfer, and multiphysics modeling, where nonlocal integral op…
cs.LG2024★ 3 cited
Residual resampling-based physics-informed neural network for neutron diffusion equations
Heng Zhang, Yun-Ling He, Dong Liu +3
The neutron diffusion equation plays a pivotal role in the analysis of nuclear reactors. Nevertheless, employing the Physics-Informed Neural Network (PINN) method for its solution…