Robotics & Machine Learning Daily News2024,Issue(Oct.23) :77-78.

Studies from State University of New York (SUNY) Stony Brook Reveal New Findings on Machine Learning (Machine-learning Models for Atom-diatom Reactions Across Isotopologues)

Robotics & Machine Learning Daily News2024,Issue(Oct.23) :77-78.

Studies from State University of New York (SUNY) Stony Brook Reveal New Findings on Machine Learning (Machine-learning Models for Atom-diatom Reactions Across Isotopologues)

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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 reporting from Stony Brook, New York, by NewsRx journalists, research stated, “This work shows that feed-forward neural networks can predict the final rovibrational state distributions of inelastic a nd reactive processes of the reaction of Ca + H-2 -> CaH + H in the hyperthermal regime, relevant for buffer gas chemistry. Furthermore, these models can be extended to the isotopologues of the reaction involving deu terium and tritium.”

Key words

Stony Brook/New York/United States/No rth and Central America/Cyborgs/Emerging Technologies/Machine Learning/State University of New York (SUNY) Stony Brook

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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