crossrefAdvanced Intelligent Discovery2026-06-30
Probing Machine Learning Interatomic Potentials on Ion Transport Properties
Ogheneyoma Aghoghovbia, Ming Hu, Adji Bousso Dieng
Machine learning interatomic potentials (MLPs) are promising for accelerating the simulation of ion transport in all‐solid‐state battery materials, but their accuracy across diverse material compositions and symmetries remains unquantified. Here, we systematically benchmark six s…