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Peer-reviewedLicence not statedJournal of the Mechanics and Physics of Solids

Pretrain finite element method: A pretraining and warm-start framework for PDEs via physics-informed neural operators

  • Yizheng Wang1,2
  • Zhongkai Hao3
  • Mohammad Sadegh Eshaghi4
  • Cosmin Anitescu2
  • Xiaoying Zhuang4
  • Timon Rabczuk2
  • Yinghua Liu1
4 affiliations
  1. 1Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, China
  2. 2Institute of Structural Mechanics, Bauhaus-Universität Weimar, Marienstr. 15, D-99423, Weimar, Germany
  3. 3Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China
  4. 4Institute of Photonics, Department of Mathematics and Physics, Leibniz University, Hannover, Germany
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Cite

BibTeXRIS
BibTeX
@article{wang2026pretrain,
  title = {{Pretrain finite element method: A pretraining and warm-start framework for PDEs via physics-informed neural operators}},
  author = {Yizheng Wang and Zhongkai Hao and Mohammad Sadegh Eshaghi and Cosmin Anitescu and Xiaoying Zhuang and Timon Rabczuk and Yinghua Liu},
  journal = {Journal of the Mechanics and Physics of Solids},
  year = {2026},
  month = may,
  doi = {10.1016/j.jmps.2026.106682},
  url = {http://arxiv.org/abs/2601.03086},
}
RIS
TY  - JOUR
TI  - Pretrain finite element method: A pretraining and warm-start framework for PDEs via physics-informed neural operators
AU  - Yizheng Wang
AU  - Zhongkai Hao
AU  - Mohammad Sadegh Eshaghi
AU  - Cosmin Anitescu
AU  - Xiaoying Zhuang
AU  - Timon Rabczuk
AU  - Yinghua Liu
PY  - 2026
DA  - 2026/05/15
JO  - Journal of the Mechanics and Physics of Solids
DO  - 10.1016/j.jmps.2026.106682
UR  - http://arxiv.org/abs/2601.03086
SN  - 0022-5096
SN  - 1873-4782
ER  -