Anand Kulkarni
Machine learningMode (statistics)Artificial intelligenceData analysisMaterials scienceStructural materialContext (language use)Artificial neural networkA priori and a posterioriIdentification (information)Property (programming)
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This chapter presents an innovative framework for the application of machine learning and data analytics for the identification of alloys or composites exhibiting certain desired properties of interest. The main focus is on alloys and composites with large composition spaces for structural materials. Such alloys or composites are referred to as high-entropy materials (HEMs) and are here presented primarily in context of structural applications. For each output property of interest, the correspon...