most citedA deep machine learning potential for atomistic simulation of Fe-Si-O systems under Earth's outer core conditions

25 citations · 25 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2022★ 25 cited

A deep machine learning potential for atomistic simulation of Fe-Si-O systems under Earth's outer core conditions

Chao Zhang, Ling Tang, Yang Sun +3

Using artificial neural-network machine learning (ANN-ML) to generate interatomic potentials has been demonstrated to be a promising approach to address the long-standing challenge…