首页|Reports from National University of Science & Technology MISiS Adv ance Knowledge in Machine Learning (Analysis of Stability and Mechanical Propert ies of Al-cr-fe-co-ni-cu Hea Based On Machine Learning)
Reports from National University of Science & Technology MISiS Adv ance Knowledge in Machine Learning (Analysis of Stability and Mechanical Propert ies of Al-cr-fe-co-ni-cu Hea Based On Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Moscow, Russia, by NewsRx correspondents, research stated, “A machine learning (ML)interatomic pot ential was developed to predict the behavior of complex high-entropy alloys (HEA s)containing Al, Cr, Fe, Co, Ni, and Cu. This ML potential accurately reproduce s DFT calculations,allowing for extensive molecular dynamics simulations.”
MoscowRussiaCyborgsEmerging Techno logiesMachine LearningNational University of Science & Technol ogy MISiS
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