most citedNeural network approach for a rapid prediction of metal-supported borophene properties

14 citations · 14 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2023★ 14 cited

Neural network approach for a rapid prediction of metal-supported borophene properties

Pierre Mignon, Abdul-Rahman Allouche, Neil Richard Innis +1

We develop a high-dimensional neural network potential (NNP) to describe the structural and energetic properties of borophene deposited on silver. This NNP has the accuracy of DFT…