The 2019 materials by design roadmap

Advances in renewable and sustainable energy technologies critically depend on our ability to design and realize materials with optimal properties. Materials discovery and design efforts ideally involve close coupling between materials prediction, synthesis and characterization. The increased use of...

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Published in:Journal of physics. D, Applied physics Vol. 52; no. 1
Main Authors: Alberi, Kirstin, Nardelli, Marco Buongiorno, Zakutayev, Andriy, Mitas, Lubos, Curtarolo, Stefano, Jain, Anubhav, Fornari, Marco, Marzari, Nicola, Takeuchi, Ichiro, Green, Martin L, Kanatzidis, Mercouri, Toney, Mike F, Butenko, Sergiy, Meredig, Bryce, Lany, Stephan, Kattner, Ursula, Davydov, Albert, Toberer, Eric S, Stevanovic, Vladan, Walsh, Aron, Park, Nam-Gyu, Aspuru-Guzik, Alán, Tabor, Daniel P, Nelson, Jenny, Murphy, James, Setlur, Anant, Gregoire, John, Li, Hong, Xiao, Ruijuan, Ludwig, Alfred, Martin, Lane W, Rappe, Andrew M, Wei, Su-Huai, Perkins, John
Format: Journal Article
Language:English
Published: IOP Publishing 02.01.2019
Subjects:
ISSN:0022-3727, 1361-6463
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Abstract Advances in renewable and sustainable energy technologies critically depend on our ability to design and realize materials with optimal properties. Materials discovery and design efforts ideally involve close coupling between materials prediction, synthesis and characterization. The increased use of computational tools, the generation of materials databases, and advances in experimental methods have substantially accelerated these activities. It is therefore an opportune time to consider future prospects for materials by design approaches. The purpose of this Roadmap is to present an overview of the current state of computational materials prediction, synthesis and characterization approaches, materials design needs for various technologies, and future challenges and opportunities that must be addressed. The various perspectives cover topics on computational techniques, validation, materials databases, materials informatics, high-throughput combinatorial methods, advanced characterization approaches, and materials design issues in thermoelectrics, photovoltaics, solid state lighting, catalysts, batteries, metal alloys, complex oxides and transparent conducting materials. It is our hope that this Roadmap will guide researchers and funding agencies in identifying new prospects for materials design.
AbstractList Advances in renewable and sustainable energy technologies critically depend on our ability to design and realize materials with optimal properties. Materials discovery and design efforts ideally involve close coupling between materials prediction, synthesis and characterization. The increased use of computational tools, the generation of materials databases, and advances in experimental methods have substantially accelerated these activities. It is therefore an opportune time to consider future prospects for materials by design approaches. The purpose of this Roadmap is to present an overview of the current state of computational materials prediction, synthesis and characterization approaches, materials design needs for various technologies, and future challenges and opportunities that must be addressed. The various perspectives cover topics on computational techniques, validation, materials databases, materials informatics, high-throughput combinatorial methods, advanced characterization approaches, and materials design issues in thermoelectrics, photovoltaics, solid state lighting, catalysts, batteries, metal alloys, complex oxides and transparent conducting materials. It is our hope that this Roadmap will guide researchers and funding agencies in identifying new prospects for materials design.
Author Nardelli, Marco Buongiorno
Murphy, James
Davydov, Albert
Martin, Lane W
Kattner, Ursula
Marzari, Nicola
Tabor, Daniel P
Butenko, Sergiy
Fornari, Marco
Stevanovic, Vladan
Ludwig, Alfred
Rappe, Andrew M
Lany, Stephan
Toney, Mike F
Alberi, Kirstin
Xiao, Ruijuan
Park, Nam-Gyu
Walsh, Aron
Toberer, Eric S
Jain, Anubhav
Gregoire, John
Setlur, Anant
Curtarolo, Stefano
Perkins, John
Li, Hong
Mitas, Lubos
Kanatzidis, Mercouri
Zakutayev, Andriy
Green, Martin L
Nelson, Jenny
Wei, Su-Huai
Takeuchi, Ichiro
Meredig, Bryce
Aspuru-Guzik, Alán
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  surname: Alberi
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  organization: University of North Texas , Denton, TX, United States of America
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  surname: Zakutayev
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– sequence: 8
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  surname: Marzari
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  organization: École Polytechnique Fédérale de Lausanne Theory and Simulation of Materials, 1015 Lausanne, Switzerland
– sequence: 9
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  surname: Takeuchi
  fullname: Takeuchi, Ichiro
  organization: University of Maryland , College Park, MD, United States of America
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  fullname: Green, Martin L
  organization: Materials Measurement Science Division, National Institute of Standards and Technology , Gaithersburg, MD, United States of America
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  givenname: Mercouri
  surname: Kanatzidis
  fullname: Kanatzidis, Mercouri
  organization: Northwestern University , Evanston, IL, United States of America
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  organization: SLAC , Menlo Park, CA, United States of America
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  orcidid: 0000-0002-6662-9552
  surname: Butenko
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  surname: Meredig
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  organization: Citrine Informatics , Redwood City, CA, United States of America
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  organization: National Renewable Energy Laboratory , Golden, CO 80401, United States of America
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  fullname: Davydov, Albert
  organization: National Institute of Standards and Technology Materials Science and Engineering Division, Gaithersburg, MD, United States of America
– sequence: 18
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  surname: Toberer
  fullname: Toberer, Eric S
  organization: Colorado School of Mines , Golden, CO, United States of America
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  organization: Colorado School of Mines , Golden, CO, United States of America
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  orcidid: 0000-0002-8277-4434
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– sequence: 23
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  surname: Tabor
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  organization: University of Toronto Department of Chemistry and Department of Computer Science, Canada
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  surname: Nelson
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  organization: Imperial College London Department of Physics and Centre for Plastic Electronics, London, United Kingdom
– sequence: 25
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  surname: Murphy
  fullname: Murphy, James
  organization: Functional Materials Laboratory, GE Global Research , Niskayuna, NY, United States of America
– sequence: 26
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  surname: Setlur
  fullname: Setlur, Anant
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  surname: Gregoire
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  organization: California Institute of Technology , Pasadena, CA, United States of America
– sequence: 28
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  surname: Li
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  organization: Institute of Physics , Chinese Academy of Sciences, Beijing, People's Republic of China
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  organization: National Renewable Energy Laboratory , Golden, CO 80401, United States of America
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PublicationDate 2019-01-02
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  year: 2019
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PublicationTitle Journal of physics. D, Applied physics
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PublicationYear 2019
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Snippet Advances in renewable and sustainable energy technologies critically depend on our ability to design and realize materials with optimal properties. Materials...
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SubjectTerms density functional theory
energy applications
high-throughput methods
materials design
materials genome initative
Title The 2019 materials by design roadmap
URI https://iopscience.iop.org/article/10.1088/1361-6463/aad926
Volume 52
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