Robotics & Machine Learning Daily News2024,Issue(Aug.28) :37-38.

University of Cambridge Reports Findings in Machine Learning (i-PI 3.0: A flexib le and efficient framework for advanced atomistic simulations)

Robotics & Machine Learning Daily News2024,Issue(Aug.28) :37-38.

University of Cambridge Reports Findings in Machine Learning (i-PI 3.0: A flexib le and efficient framework for advanced atomistic simulations)

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Abstract

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 news reportingout of Cambridge, United King dom, by NewsRx editors, research stated, “Atomic-scale simulationshave progress ed tremendously over the past decade, largely thanks to the availability of mach ine-learninginteratomic potentials. These potentials combine the accuracy of el ectronic structure calculations withthe ability to reach extensive length and t ime scales.”

Key words

Cambridge/United Kingdom/Europe/Cybor gs/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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