Publications

Selected papers and conference presentations

This page lists selected presentations, publications, preprints and technical reports.

Conference Presentations and Workshops

  • Mei-Chin Pang. “How Do You Train a Physics-Informed Neural Network When the Data is Noisy, Sparse or Missing?” In the Online Series of Materials Valley e.V., TU Darmstadt, Germany, July 2, 2026.

  • Mei-Chin Pang, Chryssa Kappatou, Mark Wolters, Konrad Dubil, Tobias Schikarski, Gero Stoeckl, Maryam Agboluaje, Nick Sherck, Tola Oyetunde and Keith Task. Scientific Machine Learning (SciML). In AI to Accelerate Scientific Understanding Workshop, Berlin, Germany, May 26 - 29, 2026.

  • Mei-Chin Pang. “Integrating AI into Chemical R&D: From Laboratory Automation to Process Intelligence.” In AI for Material Science - Center for Materials Research Colloquium, Giessen, Germany, November 10 - 11, 2025.

  • Mei-Chin Pang, Nagihiro Haba, Takuma Kasahara, Saneyuki Ohno. “Benchmarking Data-driven Anomaly Detection in Battery Cycling Protocols.” In International Bunsen Discussion Meeting on Solid-State Batteries VI - From Fundamentals to Application, Frankfurt, November 13 - 15, 2024.

  • Mei-Chin Pang. “Everything You Need to Know About AI in Your Electric Vehicles Batteries.” In Kigaru ni Austauch 2024, DAAD Tokyo. October 2024.

  • Mei-Chin Pang, Yucang Hao, Huizhi Wang, Monica Marinescu, Mu Chen, and Gregory James Offer. “What Is the Rate Limiting Mechanism in Solid-State Lithium Cells at Different Pulse Operating Conditions?.” In Electrochemical Society Meeting Abstracts 236, no. 7, pp. 630-630. The Electrochemical Society, Inc., 2019.

  • Mei-Chin Pang, Youxiu Wei, Huizhi Wang, Monica Marinescu, Yue Yan, and Gregory J. Offer. “Model-based upscaling of solid-state batteries.” In Future Powertrain Conference 2020, Coventry, 4-5 March, 2020. (2nd Poster Prize)

Journal Articles and Preprints

  1. Mei-Chin Pang, Suraj Adhikari, Takuma Kasahara, Nagihiro Haba, and Saneyuki Ohno. “An Open-Access Benchmark of Statistical and Machine-Learning Anomaly Detection Methods for Battery Applications.” arXiv preprint arXiv:2511.01745 (2025). DOI: 10.48550/arXiv.2511.01745.

  2. Mei-Chin Pang, Monica Marinescu, Huizhi Wang, and Gregory Offer. “Mechanical behaviour of inorganic solid-state batteries: can we model the ionic mobility in the electrolyte with Nernst–Einstein’s relation?.” Physical Chemistry Chemical Physics 23, no. 48 (2021): 27159-27170. DOI: 10.1039/D1CP00909E.

  3. Mei-Chin Pang, Kai Yang, Rowena Brugge, Teng Zhang, Xinhua Liu, Feng Pan, Shichun Yang et al. “Interactions are important: Linking multi-physics mechanisms to the performance and degradation of solid-state batteries.” Materials Today 49 (2021): 145-183. DOI: 10.1016/j.mattod.2021.02.011.

  4. Edge, Jacqueline S., Simon O’Kane, Ryan Prosser, Niall D. Kirkaldy, Anisha N. Patel, Alastair Hales, Abir Ghosh et al. “Lithium ion battery degradation: what you need to know.” Physical Chemistry Chemical Physics 23, no. 14 (2021): 8200-8221. DOI: 10.1039/D1CP00359C.

  5. Mei-Chin Pang, Youxiu Wei, Huizhi Wang, Monica Marinescu, Yue Yan, and Gregory J. Offer. “Large-format bipolar and parallel solid-state lithium-metal cell stacks: a thermally coupled model-based comparative study.” Journal of the Electrochemical Society 167, no. 16 (2020): 160555. DOI: 10.1149/1945-7111/abd493.

  6. Mei-Chin Pang, Yucang Hao, Monica Marinescu, Huizhi Wang, Mu Chen, and Gregory J. Offer. “Experimental and numerical analysis to identify the performance limiting mechanisms in solid-state lithium cells under pulse operating conditions.” Physical Chemistry Chemical Physics 21, no. 41 (2019): 22740-22755. DOI: 10.1039/C9CP03886H.