Dynamically configured physics-informed neural network in topology optimization applications-Reference-Cited by-同舟云学术

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Dynamically configured physics-informed neural network in topology optimization applications

Published:2024-06 Issue: Volume:426 Page:117004
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:

Yin Jichao^ORCID,Wen Ziming,Li Shuhao,Zhang Yaya,Wang Hu^ORCID

Funder

Ministry of Science and Technology of the People's Republic of China

Shenzhen Science and Technology Innovation Committee

Publisher

Elsevier BV

Reference69 articles.

1. Topology optimization: theory, methods, and applications;Bendsøe,2004

2. Topology optimization in aircraft and aerospace structures design;Zhu;Arch. Computat. Methods Eng,2016

3. High performance automotive chassis design: a topology optimization based approach;Cavazzuti;Struct. Multidisc Optim,2011

4. Optimal shape design as a material distribution problem;Bendsøe;Struct. Optim.,1989

5. A further review of ESO type methods for topology optimization;Huang;Struct. Multidisc Optim,2010

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fast Convergence PINNs Using Pseudo-Density Embedding: A study on Solid Mechanics;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

2. A comprehensive review of fiber-reinforced topology optimization for advanced polymer composites produced by automated manufacturing;Advanced Industrial and Engineering Polymer Research;2024-05

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