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20192023
most citedGPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

463 citations · 894 across the 10 of their papers we have counts for

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Showing 2020Show all

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cond-mat.mtrl-sci2020★ 5 cited

A Computational Assessment of the Efficacy of Halides as Shape-Directing Agents in Nanoparticle Growth

Joakim Löfgren, J. Magnus Rahm, Joakim Brorsson +1

We report a comprehensive study of aqueous halide adsorption on nanoparticles of gold and palladium that addresses several limitations hampering the use of atomistic modeling as a…