4 papers
Pretrained battery transformer (PBT): A foundation model for battery life prediction
Ruifeng Tan, Weixiang Hong, Jia Li +2
Early prediction of battery cycle life is essential for improving battery design, manufacturing and deployment. However, despite encouraging progress with machine learning, battery…
BatteryMFormer: Multi-level Learning for Battery Degradation Trajectory Forecasting
Ruifeng Tan, Jintao Dong, Weixiang Hong +3
Early battery degradation trajectory forecasting (BDTF), which predicts the full-life state-of-health trajectory from early operational data, is critical for battery optimization,…
BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction
Ruifeng Tan, Weixiang Hong, Jiayue Tang +6
Battery Life Prediction (BLP), which relies on time series data produced by battery degradation tests, is crucial for battery utilization, optimization, and production. Despite imp…
Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey
Zhixun Li, Bin Cao, Rui Jiao +9
Materials are the foundation of modern society, underpinning advancements in energy, electronics, healthcare, transportation, and infrastructure. The ability to discover and design…