A high-dimensional neural network potential for molecular dynamics simulations of condensed phase nickel and phase transitions
Author:
Affiliation:
1. Tim Taylor Department of Chemical Engineering, Kansas State University, Manhattan, KS, USA
2. Department of Anatomy and Physiology, Kansas State University, Manhattan, KS, USA
Funder
US Department of Energy Office of Science
Beocat Research Cluster at Kansas State University
NSF
National Energy Research Scientific Computing Center
Publisher
Informa UK Limited
Subject
Condensed Matter Physics,General Materials Science,General Chemical Engineering,Modeling and Simulation,Information Systems,General Chemistry
Link
https://www.tandfonline.com/doi/pdf/10.1080/08927022.2022.2156561
Reference63 articles.
1. Machine Learning Force Fields
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