1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.NA2024★ 1 cited
PFWNN: A deep learning method for solving forward and inverse problems of phase-field models
Gang Bao, Chang Ma, Yuxuan Gong
Phase-field models have been widely used to investigate the phase transformation phenomena. However, it is difficult to solve the problems numerically due to their strong nonlinear…
math.NA2020
Numerical solution of an inverse random source problem for the time fractional diffusion equation via PhaseLift
Yuxuan Gong, Peijun Li, Xu Wang +1
This paper is concerned with the inverse random source problem for a stochastic time fractional diffusion equation, where the source is assumed to be driven by a Gaussian random fi…