首页|Research from Yeungnam University Provides New Study Findings on Machine Learnin g (Unraveling phase prediction in high entropy alloys: A synergy of machine lear ning, deep learning, and Thermo- Calc, validation by experimental analysis)
Research from Yeungnam University Provides New Study Findings on Machine Learnin g (Unraveling phase prediction in high entropy alloys: A synergy of machine lear ning, deep learning, and Thermo- Calc, validation by experimental analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Gyeongbuk, Sou th Korea, by NewsRx editors, research stated, “The phase formation in high entro py alloys (HEAs) presents a significant challenge due to the complexity of their composition and the intricate interactions between multiple elements. The machi ne learning (ML) and deep learning (ANN) models play a crucial role in phase pre diction for HEAs owing to their capability to handle intricate, multi-dimensiona l datasets and capture nuanced relationships between composition and phase forma tion.”
Yeungnam UniversityGyeongbukSouth Ko reaAsiaAlloysCyborgsEmerging TechnologiesMachine Learning
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