2024
DOI: 10.1088/1361-651x/ad93ec
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Machine learned interatomic potentials for gas-metal interactions

M A Cusentino,
M A Wood,
A P Thompson

Abstract: Developing interatomic potentials for gas-metal systems is difficult due to the wide range of chemical compositions that the potential must be able to reproduce. There is a need for these types of potentials for studying plasma-material interactions in fusion reactors where gaseous plasma species will implant in metallic reactor components. The challenges presented by these material systems make them suitable candidates for treatment by a machine learning approach, such as that of the spectral neighbor analysi… Show more

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