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Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies.

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Title: Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies.
Authors: Green, M. L.1 martin.green@nist.gov, Choi, C. L.2, Hattrick-Simpers, J. R.1, Joshi, A. M.3, Takeuchi, I.4, Barron, S. C.5, Campo, E.6, Chiang, T.7, Empedocles, S.8, Gregoire, J. M.9, Kusne, A. G.1, Martin, J.1, Mehta, A.10, Persson, K.11, Trautt, Z.1, Van Duren, J.7, Zakutayev, A.12
Source: Applied Physics Reviews. 2017, Vol. 4 Issue 1, p1-18. 18p.
Subjects: Materials analysis, Computer simulation, Genomes, Combinatorics, Data fusion (Statistics)
Abstract: The Materials Genome Initiative, a national effort to introduce new materials into the market faster and at lower cost, has made significant progress in computational simulation and modeling of materials. To build on this progress, a large amount of experimental data for validating these models, and informing more sophisticated ones, will be required. High-throughput experimentation generates large volumes of experimental data using combinatorial materials synthesis and rapid measurement techniques, making it an ideal experimental complement to bring the Materials Genome Initiative vision to fruition. This paper reviews the state-of-the-art results, opportunities, and challenges in high-throughput experimentation for materials design. A major conclusion is that an effort to deploy a federated network of high-throughput experimental (synthesis and characterization) tools, which are integrated with a modern materials data infrastructure, is needed. [ABSTRACT FROM AUTHOR]
Copyright of Applied Physics Reviews is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: The Materials Genome Initiative, a national effort to introduce new materials into the market faster and at lower cost, has made significant progress in computational simulation and modeling of materials. To build on this progress, a large amount of experimental data for validating these models, and informing more sophisticated ones, will be required. High-throughput experimentation generates large volumes of experimental data using combinatorial materials synthesis and rapid measurement techniques, making it an ideal experimental complement to bring the Materials Genome Initiative vision to fruition. This paper reviews the state-of-the-art results, opportunities, and challenges in high-throughput experimentation for materials design. A major conclusion is that an effort to deploy a federated network of high-throughput experimental (synthesis and characterization) tools, which are integrated with a modern materials data infrastructure, is needed. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Applied Physics Reviews is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1063/1.4977487
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