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      Learning excited states from ground states by using an artificial neural network

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          Machine learning for molecular and materials science

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            Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties

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              Machine learning in materials informatics: recent applications and prospects

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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                npj Computational Materials
                npj Comput Mater
                Springer Science and Business Media LLC
                2057-3960
                December 2020
                June 3 2020
                December 2020
                : 6
                : 1
                Article
                10.1038/s41524-020-0336-3
                29dd002b-9f3d-447f-8d28-af6973e8bfbd
                © 2020

                https://creativecommons.org/licenses/by/4.0

                https://creativecommons.org/licenses/by/4.0

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