Robotics & Machine Learning Daily News2024,Issue(Jul.15) :27-27.

Reports on Machine Learning Findings from University of South Carolina Provide N ew Insights (Machine Learning Accelerated Firstprinciples Study of the Hydrodeo xygenation of Propanoic Acid)

Robotics & Machine Learning Daily News2024,Issue(Jul.15) :27-27.

Reports on Machine Learning Findings from University of South Carolina Provide N ew Insights (Machine Learning Accelerated Firstprinciples Study of the Hydrodeo xygenation of Propanoic Acid)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Columbia, South Carolina, b y NewsRx editors, research stated, “The complex reaction network ofcatalytic bi omass conversions often involves hundreds of surface intermediates and thousands of reactionsteps, greatly hindering the rational design of metal catalysts for these conversions. Here, we present aframework of machine learning (ML)-accele rated first-principles studies for the hydrodeoxygenation (HDO)of propanoic aci d over transition metal surfaces.”

Key words

Columbia/South Carolina/United States/North and CentralAmerica/Cyborgs/Emerging Technologies/Machine Learning/Un iversity of South Carolina

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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