Robotics & Machine Learning Daily News2024,Issue(Dec.9) :79-80.

Study Data from University of Edinburgh Provide New Insights into Machine Learni ng (Understanding Solid Nitrogen Through Molecular Dynamics Simulations With a M achine-learning Potential)

Robotics & Machine Learning Daily News2024,Issue(Dec.9) :79-80.

Study Data from University of Edinburgh Provide New Insights into Machine Learni ng (Understanding Solid Nitrogen Through Molecular Dynamics Simulations With a M achine-learning Potential)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - A new study on Machine Learning is now available. According to news reporting from Edinburgh,United Kingdom, by NewsRx journalis ts, research stated, “We construct a fast, transferable, generalpurpose, machin e-learning interatomic potential suitable for largescale simulations of N-2. The potentialis trained only on high quality quantum chemical molecule-molecule in teractions; no condensed phaseinformation is used.”

Key words

Edinburgh/United Kingdom/Europe/Cybor gs/Emerging Technologies/Machine Learning/Molecular Dynamics/Nitrogen/Physi cs/University of Edinburgh

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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