| Physics-Informed Neural Networks for Degradation Diagnostics of Lithium-Ion Batteries S Navidi, A Thelen, T Li, C Hu International Design Engineering Technical Conferences and Computers and …, 2023 | 2 | 2023 |
| Predicting battery lifetime under varying usage conditions from early aging data T Li, Z Zhou, A Thelen, DA Howey, C Hu Cell Reports Physical Science 5 (4), 101891, 2024 | 1 | 2024 |
| Physics-informed machine learning for battery degradation diagnostics: A comparison of state-of-the-art methods S Navidi, A Thelen, T Li, C Hu Energy Storage Materials 68, 103343, 2024 | 1 | 2024 |
| Degradation Diagnostics of Lithium-Ion Batteries Cycled Under Varying Conditions T Li, A Thelen, N Karan, J Liu, C Tischer, C Hu Electrochemical Society Meeting Abstracts 243, 850-850, 2023 | | 2023 |
| A Comparative Study on Physics-Informed Machine Learning for Battery Degradation Diagnostics S Navidi, A Thelen, T Li, C Hu Electrochemical Society Meeting Abstracts 243, 848-848, 2023 | | 2023 |
Adam ThelenHardware Engineer在 iastate.edu 的电子邮件经过验证
Adam ThelenHardware Engineer在 iastate.edu 的电子邮件经过验证
Chao HuAssociate Professor at University of Connecticut在 uconn.edu 的电子邮件经过验证