首页|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)
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)
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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.”
ChongqingPeople's Republic of ChinaAsiaAlloysCyborgsEmerging TechnologiesMachine LearningChongqing Univers ity of Technology
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