Aug 2026
Data-Driven Accelerated Discovery of LNMCO Cathodes Materials via 37-Dimensional Parameter Space Mining With a Cascaded Neural Network.
The vast, unexplored synthesis space of LNMCO cathode materials contains potential solutions to the long-standing trade-off between energy density and stability. To navigate this high-dimensional space, a predictive tool capable of accurately mapping the complex relationships between synthesis parameters and electroche...
Chenfeng Wang, Quan-Jiang Li, Lihong Zhang et al.
· Advances in Materials · 0 citations