Studies from Xi’an Jiaotong University in the Area of Machine Learning Reported (Accurate Prediction of Magnetocaloric Effect In Nimn-based Heusler Alloys By Pr ioritizing Phase Transitions Through Explainable Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(Oct.1) ：69-69.

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Studies from Xi’an Jiaotong University in the Area of Machine Learning Reported (Accurate Prediction of Magnetocaloric Effect In Nimn-based Heusler Alloys By Pr ioritizing Phase Transitions Through Explainable Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting out of Xi’an, People’s Republic of China, by NewsRx editors, research stated, “With the rapid development of artif icial intelligence, magnetocaloric materials as well as other materials are bein g developed with increased efficiency and enhanced performance. However, most st udies do not take phase transitions into account, and as a result, the predictio ns are usually not accurate enough.”

Key words

Xi’an/People’s Republic of China/Asia/Alloys/Cyborgs/Emerging Technologies/Machine Learning/Xi’an Jiaotong Univer sity

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出版年

2024

Robotics & Machine Learning Daily News

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