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Representing Global Reactive Potential Energy Surfaces Using Gaussian Processes
This article presents a detailed study on constructing potential energy surfaces using a machine learning method, namely, Gaussian process regression.
Date:
February 6, 2017
Creator:
Kolb, Brian; Marshall, Paul; Zhao, Bin; Jiang, Bin & Guo, Hua
System:
The UNT Digital Library