Robotics & Machine Learning Daily News2024,Issue(Nov.7) :15-16.

Baylor University Reports Findings in Machine Learning (Data and Molecular Finge rprint-Driven Machine Learning Approaches to Halogen Bonding)

Robotics & Machine Learning Daily News2024,Issue(Nov.7) :15-16.

Baylor University Reports Findings in Machine Learning (Data and Molecular Finge rprint-Driven Machine Learning Approaches to Halogen Bonding)

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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 originating in Waco, Texas, b y NewsRx journalists, research stated, “The ability to predict the strength of h alogen bonds and properties of halogen bond (XB) donors has significant utility for medicinal chemistry and materials science. XBs are typically calculated thro ugh expensive ab initio methods.”

Key words

Waco/Texas/United States/North and Ce ntral America/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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