Physics-specialized neural network with hard constraints for solving multi-material diffusion problems-Reference-Cited by-同舟云学术

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Physics-specialized neural network with hard constraints for solving multi-material diffusion problems

Published:2024-10 Issue: Volume:430 Page:117223
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Xie Yuchen^ORCID,Chi Honghang^ORCID,Wang Yahui,Ma Yu

Publisher

Elsevier BV

Reference42 articles.

1. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations;Raissi;J. Comput. Phys.,2019

2. Physics-informed machine learning;Karniadakis;Nat. Rev. Phys.,2021

3. Distributed learning machines for solving forward and inverse problems in partial differential equations;Dwivedi;Neurocomputing,2021

4. Physics informed extreme learning machine (Pielm)–a rapid method for the numerical solution of partial differential equations;Dwivedi;Neurocomputing,2020

5. Self-adaptive loss balanced physics-informed neural networks;Xiang;Neurocomputing,2022

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