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20152026
most citedA machine learning-based selective sampling procedure for identifying the low energy region in a potential energy surface: a case study on proton conduction in oxides

63 citations · 115 across the 11 of their papers we have counts for

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physics.chem-ph2017★ 37 cited

Exploring a potential energy surface by machine learning for characterizing atomic transport

Kenta Kanamori, Kazuaki Toyoura, Junya Honda +7

We propose a machine-learning method for evaluating the potential barrier governing atomic transport based on the preferential selection of dominant points for the atomic transport…