Talk:Interatomic potential

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Wiki Education Foundation-supported course assignment
This article was the subject of a Wiki Education Foundation-supported course assignment, between 10 March 2020 and 30 April 2020. Further details are available on the course page. Student editor(s): Braydenbekker. Peer reviewers: Hensldm.

Above undated message substituted from Template:Dashboard.wikiedu.org assignment by PrimeBOT (talk) 17:13, 18 January 2022 (UTC)

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Advancements in this technology led to the development of Matlantis in 2022, which commercially applies machine learning potentials for new materials discovery. Matlantis, which can simulate 72 elements, handle up to 20,000 atoms at a time, and execute calculations up to 20 million times faster than density functional theory with almost indistinguishable accuracy, showcases the power of machine learning potentials in the age of artificial intelligence. Dpk25