Robotics & Machine Learning Daily News2024,Issue(Mar.25) :67-68.

Studies from Chongqing University of Technology Reveal New Findings on Machine Learning (Machine Learning Aided Process Design of Fe-cr-ni-al/ti Multi-principal Element Alloys for Excellent Mechanical Properties)

Robotics & Machine Learning Daily News2024,Issue(Mar.25) :67-68.

Studies from Chongqing University of Technology Reveal New Findings on Machine Learning (Machine Learning Aided Process Design of Fe-cr-ni-al/ti Multi-principal Element Alloys for Excellent Mechanical Properties)

扫码查看

Abstract

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 originating from Chongqing, People's Republic of Ch ina, by NewsRx correspondents, research stated, “Fe-Cr-Ni- Al/Ti multi -principal element alloys (MPEAs) with the good mechanical properties were designed by uti lizing machine learning (ML) methods in our previous work. It can be noted that the post -processing (thermomechanical treatments, TMT) can tailor microstructur es of the designed MPEAs with an aim to further obtain excellent mechanical prop erties.”

Key words

Chongqing/People's Republic of China/Asia/Alloys/Cyborgs/Emerging Technologies/Machine Learning/Chongqing Univers ity of Technology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文