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      The Materials Genome Initiative and artificial intelligence

      MRS Bulletin
      Cambridge University Press (CUP)

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          Abstract

          Abstract

          The Materials Genome Initiative (MGI) seeks to accelerate the discovery, design, development, and deployment of new materials through the creation of a materials innovation infrastructure. This infrastructure is essentially a system for providing data and tools that encapsulate our existing knowledge about materials, and the means to create new knowledge. Given this approach, MGI is also deeply linked to the ongoing exponential growth in applications of machine learning and artificial intelligence (AI) to materials research. This article explores the connections between MGI, the consequent need for data publication, the implications for data-driven science, and the application of AI to materials design. Examples will demonstrate how materials research is transforming in remarkable ways, and that the MGI vision of accelerated materials discovery is within reach.

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          Machine Learning Force Fields: Construction, Validation, and Outlook

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            Computer Vision and Machine Learning for Autonomous Characterization of AM Powder Feedstocks

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              Perspective: Composition–structure–property mapping in high-throughput experiments: Turning data into knowledge

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                Author and article information

                Journal
                MRS Bulletin
                MRS Bull.
                Cambridge University Press (CUP)
                0883-7694
                1938-1425
                June 2018
                June 11 2018
                June 2018
                : 43
                : 6
                : 452-457
                Article
                10.1557/mrs.2018.122
                85522b2b-7df2-4c34-8031-f539cc7c2c3f
                © 2018

                https://www.cambridge.org/core/terms

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