most citedPFWNN: A deep learning method for solving forward and inverse problems of phase-field models

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 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.NA2024

PML-based boundary integral equation method for electromagnetic scattering problems in a layered-medium

Gang Bao, Wangtao Lu, Tao Yin +1

This paper proposes a new boundary integral equation (BIE) methodology based on the perfectly matched layer (PML) truncation technique for solving the electromagnetic scattering pr…

math.AP2016

Inverse Random Source Scattering for Elastic Waves

Gang Bao, Chuchu Chen, Peijun Li

This paper is concerned with the direct and inverse random source scattering problems for elastic waves where the source is assumed to be driven by an additive white noise. Given t…