3 citations · 3 across the 3 of their papers we have counts for
3 papers
physics.plasm-ph2026
Anisotropic Maxwell neural operator for rapid parametric full-wave modelling of ion cyclotron resonance heating
Heng Zhang, Xu Wang, Jiayi Li +6
Full-wave calculations of ion cyclotron resonance heating (ICRH) under different plasma dielectric conditions require repeated assembly and solution of large-scale discretised syst…
cs.LG2026
Joint Initialization of Flux Networks and Effective Multiplication Factor for Physics-Informed Neural Networks Solving Neutron Diffusion Problems
Qin Hang, Yangdi Yi, Jiayi Li +2
Efficient determination of the effective multiplication factor (keff) is an important computational task in reactor core neutronics analysis. Physics-informed neural networks (PINN…
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…