首页|Data on Nanowires Described by Researchers at National Institute of Technology R ourkela (Predicting Stress-strain Characteristics of Hot Deformed Cu-zr Metallic Glass Alloy Composite Nanowires Using Supervised Machine Learning Algorithms)
Data on Nanowires Described by Researchers at National Institute of Technology R ourkela (Predicting Stress-strain Characteristics of Hot Deformed Cu-zr Metallic Glass Alloy Composite Nanowires Using Supervised Machine Learning Algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Nanotechnol ogy - Nanowires. According to news reportingout of Odisha, India, by NewsRx edi tors, research stated, “In this paper, classical molecular dynamicssimulations of tensile deformation on Cu50Zr50 metallic glass alloy composite nanowires have been carriedout, followed by stress-strain behavior predictions using supervis ed machine learning (ML) algorithms.The composite NWs contain spherical copper nanocrystallites embedded in the Cu50Zr50 metallic glassmatrix.”
OdishaIndiaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningNanotechnologyNanowiresNational I nstitute of Technology Rourkela
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