首页|Investigators from Guilin University of Electronic Technology Zero in on Machine Learning (Highly Effective Design of High Gfa Alloys With Different Metal-based and Various Components By Machine Learning)
Investigators from Guilin University of Electronic Technology Zero in on Machine Learning (Highly Effective Design of High Gfa Alloys With Different Metal-based and Various Components By Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating in Guilin, People’s Re public of China, by NewsRx journalists, research stated, “The glassforming abil ity (GFA) is of great significance for the development of novel functional metal -based metallic glasses. In this study, seven popular machine learning (ML) algo rithms were employed to design novel M-based (M = Fe, Co, Ni, Ti, Zr, and rare e arth metal (RE)) andX-component (X = 2, 3, 4, 5,6, and > 6) alloys with excellent GFA.”
GuilinPeople’s Republic of ChinaAsiaAlloysCyborgsEmerging TechnologiesMachine LearningGuilin University of Electronic Technology
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