Robotics & Machine Learning Daily News2024,Issue(MAY.15) :20-21.

University of Basel Reports Findings in Machine Learning (Systematic improvement of empirical energy functions in the era of machine learning)

Robotics & Machine Learning Daily News2024,Issue(MAY.15) :20-21.

University of Basel Reports Findings in Machine Learning (Systematic improvement of empirical energy functions in the era of machine learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Basel, Switzerland, by NewsRx correspondents, research stated, “The impact of targeted replacement of individual terms in empirical force fields is quantitatively assessed for pure w ater, dichloromethane (CH Cl ), and solvated K and Cl ions. For the electrostati c interactions, point charges (PCs) and machine learning (ML)-based minimally di stributed charges (MDCM) fitted to the molecular electrostatic potential are eva luated together with electrostatics based on the Coulomb integral.”

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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