Publications
Research articles and scholarly works
Early-cycle prediction of battery aging onset across chemistries
Tan X, Zeng N, Deng Y, Sun S, Rui B, Xu J
Journal of Energy Chemistry
10.1016/j.jechem.2025.01.035
(2025)
Accurately predicting the knee point cycle number, marking the onset of accelerated capacity degradation, is the first critical signal for managing lithium-ion battery life cycles in electric vehicles and stationary energy storage systems. However, the inherent electrochemo-mechanical-thermal complexities of battery aging present significant challenges for physics-based models and machine-learning models,...
Enhancing severe hypoglycemia prediction in type 2 diabetes mellitus through multi-view co-training machine learning model for imbalanced dataset
Agraz M, Deng Y, Karniadakis GE, Mantzoros CS
Scientific Reports
10.1038/s41598-024-69844-z
(2024)
Patients with type 2 diabetes mellitus (T2DM) who have severe hypoglycemia (SH) poses a considerable risk of long-term death, especially among the elderly, demanding urgent medical attention. Accurate prediction of SH remains challenging due to its multifaced nature, contributed from factors such as medications, lifestyle choices, and metabolic measurements. In...