A dynamic database of solid-state electrolyte(DDSE)picturing all-solid-state batteries  

作　　者：Fangling Yang Egon Campos dos Santos Xue Jia Ryuhei Sato Kazuaki Kisu Yusuke Hashimoto Shin-ichi Orimo Hao Li 

机构地区：[1]Advanced Institute for Materials Research(WPI-AIMR),Tohoku University,Sendai,980-8577,Japan [2]Key Laboratory of Radiation Physics and Technology,Ministry of Education,College of Physics,Sichuan University,Chengdu,610065,People's Republic of China [3]Institute for Materials Research(IMR),Tohoku University,Sendai,980-8577,Japan [4]Tohoku Forum for Creativity,Tohoku University,Sendai,980-8577,Japan

出　　处：《Nano Materials Science》2024年第2期256-262,共7页纳米材料科学（英文版）

基　　金：supported by the Ensemble Grant for Early Career Researchers 2022 and the 2023 Ensemble Continuation Grant of Tohoku University,the Hirose Foundation,the Iwatani Naoji Foundation,and the AIMR Fusion Research Grant;supported by JSPS KAKENHI Nos.JP23K13599,JP23K13703,JP22H01803,and JP18H05513;the Center for Computational Materials Science,Institute for Materials Research,Tohoku University for the use of MASAMUNEIMR(Nos.202212-SCKXX0204 and 202208-SCKXX-0212);the Institute for Solid State Physics(ISSP)at the University of Tokyo for the use of their supercomputers;the China Scholarship Council(CSC)fund to pursue studies in Japan.

摘　　要：All-solid-state batteries(ASSBs)are a class of safer and higher-energy-density materials compared to conventional devices,from which solid-state electrolytes(SSEs)are their essential components.To date,investigations to search for high ion-conducting solid-state electrolytes have attracted broad concern.However,obtaining SSEs with high ionic conductivity is challenging due to the complex structural information and the less-explored structure-performance relationship.To provide a solution to these challenges,developing a database containing typical SSEs from available experimental reports would be a new avenue to understand the structureperformance relationships and find out new design guidelines for reasonable SSEs.Herein,a dynamic experimental database containing>600 materials was developed in a wide range of temperatures(132.40–1261.60 K),including mono-and divalent cations(e.g.,Li^(+),Na^(+),K^(+),Ag^(+),Ca^(2+),Mg^(2+),and Zn^(2+))and various types of anions(e.g.,halide,hydride,sulfide,and oxide).Data-mining was conducted to explore the relationships among different variates(e.g.,transport ion,composition,activation energy,and conductivity).Overall,we expect that this database can provide essential guidelines for the design and development of high-performance SSEs in ASSB applications.This database is dynamically updated,which can be accessed via our open-source online system.

关 键 词：Solid-state electrolyte(SSE) All-solid-state battery(ASSB) Ionic conductivity Dynamic database Machine learning 

分 类 号：TM912[电气工程—电力电子与电力传动] O646[理学—物理化学] TP311.13[理学—化学]