New Machine Learning Findings Reported from Chinese Academy of Sciences (Machine Learning - Assisted Prediction of Yield Strength In Irradiated Type 316 Stainle ss Steels)
New Machine Learning Findings Reported from Chinese Academy of Sciences (Machine Learning - Assisted Prediction of Yield Strength In Irradiated Type 316 Stainle ss Steels)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsoriginating from Hefei, People’s Repub lic of China, by NewsRx correspondents, research stated, “Theinvestigation into irradiation hardening and embrittlement is of critical importance in nuclear ma terial subject. This work explores the applications of machine learning (ML) to predict the yield strength ofirradiated type 316 stainless steels.”
Key words
Hefei/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Stainless Steel/Chinese Acad emy of Sciences
NETL
NSTL