Robotics & Machine Learning Daily News2024,Issue(Aug.22) :13-13.

University of Basel Reports Findings in Machine Learning (AcceleratingFourth-Ge neration Machine Learning Potentials Using Quasi- Linear Scaling Particle Mesh Ch arge Equilibration)

Robotics & Machine Learning Daily News2024,Issue(Aug.22) :13-13.

University of Basel Reports Findings in Machine Learning (AcceleratingFourth-Ge neration Machine Learning Potentials Using Quasi- Linear Scaling Particle Mesh Ch arge Equilibration)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Basel, Switzerland, by N ewsRx journalists, research stated, “Machine learning potentials(MLPs) have rev olutionized the field of atomistic simulations by describing atomic interactions with theaccuracy of electronic structure methods at a small fraction of the co st. Most current MLPs constructthe energy of a system as a sum of atomic energi es, which depend on information about the atomicenvironments provided in the fo rm of predefined or learnable feature vectors.”

Key words

Basel/Switzerland/Europe/Cyborgs/Eme rging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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