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

Green, M. L. and Choi, C. L. and Hattrick-Simpers, J. R. and Joshi, A. M. and Takeuchi, I. and Barron, S. C. and Campo, E. and Chiang, T. and Empedocles, S. and Gregoire, J. M. and Kusne, A. G. and Martin, J. and Mehta, A. and Persson, K. and Trautt, Z. and Van Duren, J. and Zakutayev, A. (2017) Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies. Applied Physics Reviews, 4 (1). Art. No. 011105. ISSN 1931-9401. doi:10.1063/1.4977487. https://resolver.caltech.edu/CaltechAUTHORS:20170616-160215339

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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.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1063/1.4977487DOIArticle
http://aip.scitation.org/doi/10.1063/1.4977487PublisherArticle
ORCID:
AuthorORCID
Campo, E.0000-0002-9808-4112
Gregoire, J. M.0000-0002-2863-5265
Trautt, Z.0000-0001-5929-0354
Zakutayev, A.0000-0002-3054-5525
Additional Information:© 2017 the Authors. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Received 12 September 2016; accepted 9 February 2017; published online 28 March 2017. We are grateful to Alex King, John Newsam, John Perkins, Abhijit V. Shevade, John Smythe, and Ji-Cheng Zhao for manuscript input, and Andrey Dobrynin, Tom Kalil, Om Nalamasu, Nag Patibandla, Shannon Sullivan, and the National Science Foundation (DMR Grant No. 1439054) for their critical role in making the workshop16 possible. J.M.G. acknowledges support from the Joint Center for Artificial Photosynthesis, a DOE Energy Innovation Hub, supported through the Office of Science of the U.S. Department of Energy Award No. DE-SC0004993. A.Z. was supported by U.S. DOE, as a part of a Laboratory Directed Research and Development (LDRD) program, under Contract No. DE-AC36-08GO28308 to NREL. Certain commercial equipment, instruments, or materials are identified in this paper to adequately specify the experimental procedure. Such identification does not imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the materials or equipment identified are necessarily the best available for the purpose.
Group:JCAP
Funders:
Funding AgencyGrant Number
NSFDMR-1439054
Department of Energy (DOE)DE-SC0004993
Department of Energy (DOE)DE-AC36-08GO28308
Issue or Number:1
DOI:10.1063/1.4977487
Record Number:CaltechAUTHORS:20170616-160215339
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170616-160215339
Official Citation:Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies. M. L. Green, C. L. Choi, J. R. Hattrick-Simpers, A. M. Joshi, I. Takeuchi, S. C. Barron, E. Campo, T. Chiang, S. Empedocles, J. M. Gregoire, A. G. Kusne, J. Martin, A. Mehta, K. Persson, Z. Trautt, J. Van Duren, and A. Zakutayev. Applied Physics Reviews 2017 4:1
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:78308
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:16 Jun 2017 23:32
Last Modified:15 Nov 2021 17:38

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