3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Fast and Generalizable parameter-embedded Neural Operators for Lithium-Ion Battery Simulation
Amir Ali Panahi, Daniel Luder, Billy Wu +3
Reliable digital twins of lithium-ion batteries must achieve high physical fidelity with sub-millisecond speed. In this work, we benchmark three operator-learning surrogates for th…
q-bio.NC2024
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
Yule Wang, Chengrui Li, Weihan Li +1
Understanding the neural basis of behavior is a fundamental goal in neuroscience. Current research in large-scale neuro-behavioral data analysis often relies on decoding models, wh…
eess.SY2021★ 3 cited
Forecasting battery capacity and power degradation with multi-task learning
Weihan Li, Haotian Zhang, Bruis van Vlijmen +2
Lithium-ion batteries degrade due to usage and exposure to environmental conditions, which affects their capability to store energy and supply power. Accurately predicting the capa…