Xiaobing Lou

Screening “Cathode-Stable and Anode-Reactive” Sulfur-Based Additives for LiNi0.5Mn1.5O4||Graphite Pouch Cells via a Machine Learning Approach

For high-voltage spinel LiNi0.5Mn1.5O4 (LNMO) systems, under elevated temperature and high-voltage conditions, electrolyte decomposition and the associated interfacial “cross-talk” between the cathode and anode severely compromise cycling stability. To address this challenge, we present a machine learning (ML)-based...