Robotics & Machine Learning Daily News2024,Issue(Apr.15) :115-116.

Henan University Reports Findings in Machine Learning (Exploring negative therma l expansion materials with bulk framework structures and their relevant scaling relationships through multi-step machine learning)

Robotics & Machine Learning Daily News2024,Issue(Apr.15) :115-116.

Henan University Reports Findings in Machine Learning (Exploring negative therma l expansion materials with bulk framework structures and their relevant scaling relationships through multi-step machine learning)

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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 newsreporting from Kaifeng, People’s Republ ic of China, by NewsRx journalists, research stated, “Discoveringnew negative t hermal expansion (NTE) materials is a great challenge in experiment. Meanwhile, themachine learning (ML) method can be another approach to explore NTE material s using the existingmaterial databases.”

Key words

Kaifeng/People’s Republic of China/Asi a/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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