首页|Data from National Institute of Technology Karnataka Provide New Insights into Machine Learning (Characterizing Structural Heterogeneity In Metallic Glasses: a Molecular Dynamics-guided Machine Learning Approach)
Data from National Institute of Technology Karnataka Provide New Insights into Machine Learning (Characterizing Structural Heterogeneity In Metallic Glasses: a Molecular Dynamics-guided Machine Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news reporting originating inMangaluru, India, by NewsRx journalists, research stated, “The main objective of this research is todevelop a robust Bayesian machine learning (ML) model capable of predicting and characterizing thestructural heterogeneity in metallic glasses (MGs). The model is constructed using input data obtainedfrom molecular dynamics simulations of CuZr MGs, encompassing a wide range of alloying compositionsand simulation parameters.”
MangaluruIndiaAsiaCyborgsEmerging TechnologiesMachine LearningMolecular DynamicsPhysicsNational Institute of Technology Karnataka
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