快离子导体
电解质
材料科学
钠
电池(电)
化学工程
无机化学
固溶体
化学
离子电导率
作者
Daxian Zuo,Jiaming Tian,Yu Sun,Xin Yu,Bo Peng,Tao Yu,Chengrong Xu,Xiang-Qun Xu,Yigang Wang,Yiwen Liu,Tianze Shi,Yinhui Feng,Jie Yang,Haoshen Zhou,Shaohua Guo
摘要
Machine learning (ML)-guided entropy engineering approach discovers a medium-entropy NASICON solid electrolyte (Na 3.5 Zr 1.0 Ti 0.5 Lu 0.5 Si 2 PO 12 ) with 1.3 mS cm −1 conductivity, 10 000 hours of Na cycling, and superior battery performance.
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