Robotics & Machine Learning Daily News2024,Issue(Oct.28) :23-23.

University of Zurich Reports Findings in Machine Learning (Machine Learning Inte ratomic Potentials for Heterogeneous Catalysis)

Robotics & Machine Learning Daily News2024,Issue(Oct.28) :23-23.

University of Zurich Reports Findings in Machine Learning (Machine Learning Inte ratomic Potentials for Heterogeneous Catalysis)

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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 the subject of a report. According to news reporting originating in Zurich, Switze rland, by NewsRx journalists, research stated, “Atomistic modeling can provide v aluable insights into the design of novel heterogeneous catalysts as needed nowa days in the areas of, e. g., chemistry, materials science, and biology. Classica l force fields and ab initio calculations have been widely adopted in molecular simulations.”

Key words

Zurich/Switzerland/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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