Sihui Chen

Sihui Chen

I am interested in AI for science

About

I am Sihui Chen (陈思慧). My English name is Cathy. I am currently a master’s student at the Southern University of Science and Technology. My current research topic is battery lifetime prediction. I am interested in AI for science, and I have been doing it.

Research Interest

AI for science, LLM

Publications

  1. T. Lin#, S. Chen#, S. J. Harris, T. Zhao, Y. Liu, J. Wan, Investigating explainable transfer learning for battery lifetime prediction under state transitions. eScience, 2024, 100280.
  2. N. Guo#, S. Chen#, J. Tao, Y. Liu, J. Wan, X. Li, Semi-supervised learning for explainable few-shot battery lifetime prediction. Joule, 2024.
  3. S. Zhao, S. Chen, J. Zhou, C. Li, T. Tang, S. J. Harris, Li, X. Potential to transform words to watts with large language models in battery research. Cell Reports Physical Science, 2024, 5(3).
  4. Y. Liu, S. Chen, P. Li, J. Wan, X. Li, Status, challenges, and promises of data‐driven battery lifetime prediction under cyber‐physical system context. IET Cyber‐Physical Systems: Theory & Applications, 2024
  5. T. Lu, X. Zhai, S. Chen, Y. Liu, J. Wan, G. Liu, X. Li, Robust battery lifetime prediction with noisy measurements via totalleast-squares regression. Integration, 2024, 96, 102136.
  6. X. Hu, D. Zuo, S. Cheng, S. Chen, Y. Liu, W. Bao, S. Deng, S.J. Harris, J. Wan, Ultrafast materials synthesis and manufacturing techniques for emerging energy and environmental applications. Chemical Society Reviews, 2023, 52(3):1103-1128.
  7. Y. Wang, S. Chen, J. Xu, J. Wan, Y. Liu, X. Li; Casual Discovery for Rechargeable Battery Modeling Considering GroupLevel DAG Constraints, 50th Annual Conference of the IEEE Industrial Electronics Society (IECON), Chicago, USA, November 2024.

For more info

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