Researchers introduced a Swin3D Transformer model that predicts lithium-ion battery discharge behavior from 3D electrode data. The system improves accuracy over point-cloud methods and cuts simulation costs by orders of magnitude.


arXiv.org
AI-Driven Surrogate Models for Predicting Electrode-Scale Discharge Behavior in Lithium-Ion Batteries
Physics-based simulations are essential for understanding the electrode-scale discharge behavior of lithium-ion batteries (LIBs) but suffer from pr...














