Robotics & Machine Learning Daily News2024,Issue(Feb.2) :99-100.DOI:10.1039/d3ta06402

Findings on Machine Learning Reported by Investigators at North- western Polytechnic University (Descriptors for Phase Prediction of High Entropy Alloys Using Interpretable Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Feb.2) :99-100.DOI:10.1039/d3ta06402

Findings on Machine Learning Reported by Investigators at North- western Polytechnic University (Descriptors for Phase Prediction of High Entropy Alloys Using Interpretable Machine Learning)

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Abstract

2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Phase prediction enables the rational design of high entropy alloys from a practically infinite unexplored space. However, the reliable and efficient prediction of phases remains a challenge.” Funders for this research include National Key Research and Development Program of China, National Key Research and Development Program of China, National Natural Science Foundation of China (NSFC), Natural Science Foundation of Chongqing.

Key words

Xi’an/People’s Republic of China/Asia/Alloys/Cyborgs/Emerging Technologies/Machine Learning/Northwestern Polytechnic University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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