首页|Recent Research from Shenyang University of Technology Highlight Findings in Mac hine Learning (Exploring Microstructure Evolution and Machine-learning Methods B ased On Scat-ciwoa-bp-dmm Theory During Hot Deformation of 56ni-32ti-12hf Alloy)
Recent Research from Shenyang University of Technology Highlight Findings in Mac hine Learning (Exploring Microstructure Evolution and Machine-learning Methods B ased On Scat-ciwoa-bp-dmm Theory During Hot Deformation of 56ni-32ti-12hf Alloy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating from Shenyang, People’s Repu blic of China, by NewsRx correspondents, research stated, “Hotcompression simul ation tests were carried out on a 56Ni-32Ti-12Hf alloy at temperatures ranging f rom800 to 1000 degrees C and strain rates ranging from 0.001 to 1 s-1. The stud y aimed to explore the hotdeformation behavior and microstructure evolution mec hanism of the alloy.”
ShenyangPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningShenyang University of Tec hnology
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