Physics-Informed Neural Network with Fourier Features for Radiation Transport in Heterogeneous Media
Author:
Affiliation:
1. Texas A&M University, Department of Nuclear Engineering, College Station, Texas 77843
Funder
Lawrence Livermore National Laboratory
Publisher
Informa UK Limited
Subject
Nuclear Energy and Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00295639.2023.2184194
Reference21 articles.
1. O. SIMEONE, “A Brief Introduction to Machine Learning for Engineers”; https://arxiv.org/abs/1709.02840 (2017).
2. Machine Learning
3. Physics-informed machine learning
4. Massively parallel transport sweeps on meshes with cyclic dependencies
5. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
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