Computational and Data-Driven Materials Engineering: Multimodal Materials Datasets, Integration Frameworks, and Discovery Potential

iamrp.net-cu1J-1791515267-z391696789 1791515267 Institute for Advanced Materials Research Press info@iamrp.net Institute for Advanced Materials Research Press Journal of Computational and Data-Driven Materials Engineering J. Comput. Data-Driven Mater. Eng. 3149-9368 2023 2 2 Computational and Data-Driven Materials Engineering: Multimodal Materials Datasets, Integration Frameworks, and Discovery Potential Maria Gonzalez Javier Ruiz Lucia Torres 2023 10.68159/z391696789 https://iamrp.net/pub/journal/2/article/z391696789 Liu Y, Zhao T, Ju W, Shi S. Materials discovery and design using machine learning. J Mater. 2017;3(3):159-77. Schmidt J, Marques MRG, Botti S, Marques MAL. Recent advances and applications of machine learning in solid-state materials science. npj Comput Mater. 2019;5(83). Butler KT, Davies DW, Cartwright H, Isayev O, Walsh A. Machine learning for molecular and materials science. 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