most citedComplexity of Many-Body Interactions in Transition Metals via Machine-Learned Force Fields from the TM23 Data Set

2 citations · 4 across the 4 of their papers we have counts for

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cond-mat.mtrl-sci2023★ 2 cited

Stability, mechanisms and kinetics of emergence of Au surface reconstructions using Bayesian force fields

Cameron J. Owen, Yu Xie, Anders Johansson +2

Metal surfaces have long been known to reconstruct, significantly influencing their structural and catalytic properties. Many key mechanistic aspects of these subtle transformation…

cond-mat.mtrl-sci2023★ 2 cited

Complexity of Many-Body Interactions in Transition Metals via Machine-Learned Force Fields from the TM23 Data Set

Cameron J. Owen, Steven B. Torrisi, Yu Xie +6

This work examines challenges associated with the accuracy of machine-learned force fields (MLFFs) for bulk solid and liquid phases of d-block elements. In exhaustive detail, we co…