钙钛矿(结构)
材料科学
人工智能
统计学习
机器学习
纳米技术
计算机科学
统计分析
实验数据
工作(物理)
作者
Yuxin Zhan,Xiaojie Ren,Jing Yi,Shuai Zhao,Zhanglin Guo
摘要
This study proposes an efficient machine learning model based on atomic statistical characteristics that can accurately predict the formation of perovskite structures in A 2 BB'X 6 -type double perovskite materials.
科研通智能强力驱动
Strongly Powered by AbleSci AI