Machine Learning in Materials Modeling -- Fundamentals and the Opportunities in 2D Materials

14 Jan 2020 Das Shreeja Pegu Hansraj Sahu Kisor Nayak Ameeya Kumar Ramakrishna Seeram Datta Dibakar Swayamjyoti Soumya

The application of machine learning in materials presents a unique challenge of dealing with scarce and varied materials data - both experimental and theoretical. Nevertheless, several state-of-the-art machine learning models for materials have been successfully developed to predict material properties for various applications such as materials for photovoltaic cells, thermoelectric materials, dielectrics, materials for batteries, fuel cells, etc... (read more)

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