Data Driven Approach to the Compositional Design of Metallic Glasses

Data Driven Approach to the Compositional Design of Metallic Glasses

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There have been many compositional design methodologies developed for metallic glasses, which exhibit many attractive engineering properties, since past six decades. However, these methodologies have yielded marginal success and are constrained by their own limitations. The data driven models, harnessing the benefits of machine learning, has been proven useful to solve complex engineering problems. The researcher in the domain of metallic glasses have produced enough experimental data to mine knowledge and build a reliable model to predict promising compositions. This book intends to address t...