首页|Study Findings on Machine Learning Discussed by a Researcher at Chelyabinsk Stat e University (Theoretical Model of Structural Phase Transitions in Al-Cu Solid S olutions under Dynamic Loading Using Machine Learning)
Study Findings on Machine Learning Discussed by a Researcher at Chelyabinsk Stat e University (Theoretical Model of Structural Phase Transitions in Al-Cu Solid S olutions under Dynamic Loading Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reportingout of Chelyabinsk, Russia, by New sRx editors, research stated, “The development of dynamic plasticitymodels with accounting of interplay between several plasticity mechanisms is an urgent prob lem for thetheoretical description of the complex dynamic loading of materials. ”
Chelyabinsk State UniversityChelyabins kRussiaEurasiaCyborgsEmerging TechnologiesMachine Learning
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