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PhysicsMid‑importance This article is within the scope ofWikiProject Physics, a collaborative effort to improve the coverage ofPhysics on Wikipedia. If you would like to participate, please visit the project page, where you can jointhe discussion and see a list of open tasks.PhysicsWikipedia:WikiProject PhysicsTemplate:WikiProject Physicsphysics Mid This article has been rated asMid-importance on theproject's importance scale.

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This article was the subject of a Wiki Education Foundation-supported course assignment, between10 March 2020 and30 April 2020. Further details are availableon the course page. Student editor(s):Braydenbekker. Peer reviewers:Hensldm.

Above undated message substituted fromTemplate:Dashboard.wikiedu.org assignment byPrimeBOT (talk)17:13, 18 January 2022 (UTC)[reply]

The machine learning potential page contains content that looks like advertisement of a specific company:

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 thandensity functional theory with almost indistinguishable accuracy, showcases the power of machine learning potentials in the age of artificial intelligence.Dpk25

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