An automated predictor for identifying transition states in solids

Authors
Yin K. 1, 2, 3 , Gao P.1 , Shao X.1 , Gao B.1 , Liu H. 1 , Lv J.1 , Tse J.S. 1, 3, 4 , Wang Y. 1 , Ma Y. 1, 4
Journal
npj Computational Materials
Number of issue
1
Language
English
Pages
16
Status
Published
Volume
6
Year
2020
Organizations
  • 1 International Center of Computational Method and Software & State Key Lab of Superhard Materials|College of Physics|Jilin University
  • 2 School of Physics and Electronic Engineering|Linyi University
  • 3 Department of Physics and Engineering Physics|University of Saskatchewan
  • 4 International Center of Future Science|Jilin University
Date of creation
11.07.2024
Date of change
11.07.2024
Short link
https://repository.rudn.ru/en/records/article/record/152652/
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