Robotics & Machine Learning Daily News2024,Issue(Aug.1) :80-81.

Researchers from Chinese Academy of Sciences Describe Findings in Machine Learni ng (A Machine-learning-assisted Crystalline Structure Prediction Framework To Ac celerate Materials Discovery)

Robotics & Machine Learning Daily News2024,Issue(Aug.1) :80-81.

Researchers from Chinese Academy of Sciences Describe Findings in Machine Learni ng (A Machine-learning-assisted Crystalline Structure Prediction Framework To Ac celerate Materials Discovery)

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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 Urumqi, People’s Republic o f China, by NewsRx editors, research stated, “Modern crystal structurepredictio n methods based on structure generation algorithms and first-principles calculat ions play importantroles in the design of new materials. However, the cost of t hese methods is very expensive because their success mostly relies on the effici ent sampling of structures and the accurate evaluation of energiesfor those sam pled structures.”

Key words

Urumqi/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Chinese Academy of Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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