首页|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)
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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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.”
Stony BrookNew YorkUnited StatesNo rth and Central AmericaCyborgsEmerging TechnologiesMachine LearningState University of New York (SUNY) Stony Brook
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