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

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

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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 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.”

WacoTexasUnited StatesNorth and Ce ntral AmericaCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.7)