首页|University of North Texas Reports Findings in Machine Learning (Integrated Study on Methane Activation: Exploring Main Group Frustrated Lewis Pairs through Dens ity Functional Theory, Machine Learning, and Machine-Learned Force Fields)

University of North Texas Reports Findings in Machine Learning (Integrated Study on Methane Activation: Exploring Main Group Frustrated Lewis Pairs through Dens ity Functional Theory, Machine Learning, and Machine-Learned Force Fields)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Denton, Texas, by NewsRx journalists, research stated, “Frustrated Lewis Pairs(FLP) are an im portant advance in metal-free catalysis due to their ability to activate a varie ty of smallmolecules. Many studies have focused on a very limited sample of Lew is acids and bases.”

DentonTexasUnited StatesNorth and Central AmericaAlkanesCyborgsEmerging TechnologiesMachine LearningMeth ane

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.17)