Studies from University of Minnesota Add New Findings in the Area of Machine Lea rning (Accelerating the Prediction of Inorganic Surfaces With Machine Learning I nteratomic Potentials)

Robotics & Machine Learning Daily News2024，Issue(Apr.24) ：3-3.

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Studies from University of Minnesota Add New Findings in the Area of Machine Lea rning (Accelerating the Prediction of Inorganic Surfaces With Machine Learning I nteratomic Potentials)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Minneapolis, Minnes ota, by NewsRx correspondents, research stated, “The surface propertiesof solid -state materials often dictate their functionality, especially for applications where nanoscaleeffects become important. The relevant surface(s) and their prop erties are determined, in large part, bythe material’s synthesis or operating c onditions.”

Key words

Minneapolis/Minnesota/United States/N orth and Central America/Cyborgs/Emerging Technologies/Machine Learning/Univ ersity of Minnesota

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出版年

2024

Robotics & Machine Learning Daily News

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