首页|Study Findings from Chinese Academy of Sciences Provide New Insights into Machin e Learning (Determining Plastic Slips In Rateindependent Crystal Plasticity Mod els Through Machine Learning Algorithms)
Study Findings from Chinese Academy of Sciences Provide New Insights into Machin e Learning (Determining Plastic Slips In Rateindependent Crystal Plasticity Mod els Through Machine Learning Algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators publish new report on Machine Learn ing. According to news originating from Beijing,People’s Republic of China, by NewsRx correspondents, research stated, “Dislocation slip-based crystalplastici ty models have been a great success in connecting the fundamental physics with t he macroscopicdeformation of crystalline materials. Pioneered by Taylor in his work on ‘plastic strain in metals’ (Taylor,1938), and further advanced by Bisho p and Hill (1951a, 1951b), the Taylor-Bishop-Hill theory laid thefoundation of today’s constitutive models on crystal plasticity.”
BeijingPeople’s Republic of ChinaAsi aAlgorithmsCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences
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