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

作者：Vaiyapuri Soundharrajan, Muhammad Hilmy Alfaruqi, Ghalib Alfaza, Jun Lee, Seulgi Lee, Sohyun Park, Subramanian Nithiananth, Duong Tung Pham, Jang‐Yeon Hwang, Jaekook Kim · 发表于：Journal of Materials Chemistry A · 年份：2023 · DOI：10.1039/d3ta02291a · 被引用次数：31 · 研究领域：Advancements in Battery Materials、Advanced Battery Technologies Research、Semiconductor materials and devices

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.