Exploring low-cost high energy NASICON cathodes for sodium-ion batteries via a combined machine-learning, ab initio, and experimental approach

This study demonstrated the fusion of machine-learning, ab initio , and experimental approaches model to develop new NASICON type cathodes including Na 3.5 MnV 0.5 Ti 0.5 (PO 4 ) 3 , Na 3.5 MnV 0.5 Fe 0.5 (PO 4 ) 3 , and Na 3.5 MnV 0.5 Al 0.5 (PO 4 ) 3 for SIBs.