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From the computer to the laboratory: materials discovery and design using first-principles calculations

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Abstract

The development of new technological materials has historically been a difficult and time-consuming task. The traditional role of computation in materials design has been to better understand existing materials. However, an emerging paradigm for accelerated materials discovery is to design new compounds in silico using first-principles calculations, and then perform experiments on the computationally designed candidates. In this paper, we provide a review of ab initio computational materials design, focusing on instances in which a computational approach has been successfully applied to propose new materials of technological interest in the laboratory. Our examples include applications in renewable energy, electronic, magnetic and multiferroic materials, and catalysis, demonstrating that computationally guided materials design is a broadly applicable technique. We then discuss some of the common features and limitations of successful theoretical predictions across fields, examining the different ways in which first-principles calculations can guide the final experimental result. Finally, we present a future outlook in which we expect that new models of computational search, such as high-throughput studies, will play a greater role in guiding materials advancements.

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Acknowledgements

Geoffroy Hautier acknowledges the F.R.S.-FNRS Belgium for financial support under a “Chargé de Recherche” grant. Anubhav Jain acknowledges funding through the U.S. Government under Contract DE-AC02-05CH11231 and the Luis W. Alvarez Fellowship in Computational Science. The authors would like also to strongly acknowledge the many experts who were kind enough to share their thoughts and experience in materials design: Gerbrand Ceder, Jean-Christophe Charlier, Ralf Drautz, Richard Dronskowski, Olle Eriksson, Jeffrey Greeley, Xavier Gonze, Karl Johnson, Aleksey Kolmogorov, Georg Madsen, Jeff Neaton, and Nicola Spaldin.

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Authors and Affiliations

  1. Institute of Condensed Matter and Nanosciences (IMCN)-Nanoscopic Physics (NAPS), Université Catholique de Louvain, Louvain-la-Neuve, Belgium

    Geoffroy Hautier

  2. Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Anubhav Jain

  3. Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA

    Shyue Ping Ong

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  1. Geoffroy Hautier
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  2. Anubhav Jain
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  3. Shyue Ping Ong
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Correspondence to Geoffroy Hautier.

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Hautier, G., Jain, A. & Ong, S.P. From the computer to the laboratory: materials discovery and design using first-principles calculations. J Mater Sci 47, 7317–7340 (2012). https://doi.org/10.1007/s10853-012-6424-0

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  • DOI: https://doi.org/10.1007/s10853-012-6424-0

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