Robotics & Machine Learning Daily News2024,Issue(MAY.31) :53-54.

Investigators from Virginia Commonwealth University Report New Data on Machine L earning (ab Initio Dispersion Potentials Based On Physics-based Functional Forms With Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(MAY.31) :53-54.

Investigators from Virginia Commonwealth University Report New Data on Machine L earning (ab Initio Dispersion Potentials Based On Physics-based Functional Forms With Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Richmond, Virginia, by NewsRx journa lists, research stated, “In this study, we introduce SAPT10K, a comprehensive da taset comprising 9982 noncovalent interaction energies and their binding energy components (electrostatics, exchange, induction, and dispersion) for diverse int ermolecular complexes of 944 unique dimers. These complexes cover significant po rtions of the intermolecular potential energy surface and were computed using hi gher-order symmetry-adapted perturbation theory, SAPT2+(3)(CCD), with a large au g-cc-pVTZ basis set.” Funders for this research include American Chemical Society, American Chemical S ociety, VCU Graduate School Dissertation Assistantship.

Key words

Richmond/Virginia/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Virginia Commonwealth University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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