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      Machine Learning Boosts the Design and Discovery of Nanomaterials

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          Machine learning for molecular and materials science

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            Is Open Access

            Recent advances and applications of machine learning in solid-state materials science

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              Differentially charged nanoplastics demonstrate distinct accumulation in Arabidopsis thaliana

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                Author and article information

                Contributors
                Journal
                ACS Sustainable Chemistry & Engineering
                ACS Sustainable Chem. Eng.
                American Chemical Society (ACS)
                2168-0485
                2168-0485
                May 10 2021
                April 27 2021
                May 10 2021
                : 9
                : 18
                : 6130-6147
                Affiliations
                [1 ]Key Laboratory of Pollution Processes and Environmental Criteria (Ministry of Education)/Tianjin Key Laboratory of Environmental Remediation and Pollution Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
                Article
                10.1021/acssuschemeng.1c00483
                0d3f68a1-e0ce-40a7-9e84-14135b5e529d
                © 2021
                History

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