Weipeng Xu

I am a PhD candidate in Civil Engineering at the Hong Kong University of Science and Technology (HKUST), where I worked on differentiable physics under the guidance of Prof. Tianju Xue.

I obtained my Bachelor’s degree (2017-2021) in Civil Engineering at the South China University of Technology (SCUT). Then I pursue my Master’s degree (2021-2024) under the supervision of Prof. Peng Wei, during which my research focused on structural topology optimization.

My research interests include computational mechanics, inverse problems, and scientific machine learning. I am particularly interested in developing efficient and elegant algorithms for solving complex engineering problems. You can find my learning notes on my blog.

In my spare time, I enjoy watching videos (history, military, science, etc.), playing games (strategy, card, etc.), and traveling. I am a big fan of Yu-Gi-Oh! since I was a child.

If you are interested in my research or would like to collaborate, please feel free to contact me via email: wxuby@connect.ust.hk.

selected publications

JMPS

Frequency-domain Bayesian inference for identifying high-dimensional nonlinear mechanical properties of heterogeneous materials

Yizhe Liu, Weipeng Xu, Ye Xu, and 4 more authors

Journal of the Mechanics and Physics of Solids, 2026

DOI Bib

@article{LIU2026106625,
  title = {Frequency-domain Bayesian inference for identifying high-dimensional nonlinear mechanical properties of heterogeneous materials},
  journal = {Journal of the Mechanics and Physics of Solids},
  pages = {106625},
  year = {2026},
  issn = {0022-5096},
  doi = {https://doi.org/10.1016/j.jmps.2026.106625},
  url = {https://doi.org/10.1016/j.jmps.2026.106625},
  author = {Liu, Yizhe and Xu, Weipeng and Xu, Ye and Sun, Kaiqiang and Ding, Bin and Xue, Tianju and Chen, Yuli},
}

SMO

DiffLiB: High-fidelity differentiable modeling of lithium-ion batteries and efficient gradient-based parameter identification

Weipeng Xu, Kaiqi Yang, Yuzhi Zhang, and 4 more authors

Structural and Multidisciplinary Optimization, 2026

DOI Bib

@article{xu2026difflib,
  title = {DiffLiB: High-fidelity differentiable modeling of lithium-ion batteries and efficient gradient-based parameter identification},
  author = {Xu, Weipeng and Yang, Kaiqi and Zhang, Yuzhi and Zhang, Wenchang and Sun, Shichao and Mao, Sheng and Xue, Tianju},
  journal = {Structural and Multidisciplinary Optimization},
  volume = {69},
  number = {4},
  pages = {83},
  year = {2026},
  publisher = {Springer},
  doi = {https://doi.org/10.1007/s00158-026-04286-x},
  url = {https://doi.org/10.1007/s00158-026-04286-x},
}