102 citations · 179 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 102 cited
Stochastic analysis of heterogeneous porous material with modified neural architecture search (NAS) based physics-informed neural networks using transfer learning
Hongwei Guo, Xiaoying Zhuang, Timon Rabczuk
In this work, a modified neural architecture search method (NAS) based physics-informed deep learning model is presented for stochastic analysis in heterogeneous porous material. M…
cs.LG2020★ 77 cited
Analysis of three dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis
Hongwei Guo, Xiaoying Zhuang, Pengwan Chen +2
In this work, we present a deep collocation method for three dimensional potential problems in nonhomogeneous media. This approach utilizes a physics informed neural network with m…