TY - JOUR
T1 - The 2019 materials by design roadmap
AU - Alberi, Kirstin
AU - Nardelli, Marco Buongiorno
AU - Zakutayev, Andriy
AU - Mitas, Lubos
AU - Curtarolo, Stefano
AU - Jain, Anubhav
AU - Fornari, Marco
AU - Marzari, Nicola
AU - Takeuchi, Ichiro
AU - Green, Martin L.
AU - Kanatzidis, Mercouri
AU - Toney, Mike F.
AU - Butenko, Sergiy
AU - Meredig, Bryce
AU - Lany, Stephan
AU - Kattner, Ursula
AU - Davydov, Albert
AU - Toberer, Eric S.
AU - Stevanovic, Vladan
AU - Walsh, Aron
AU - Park, Nam Gyu
AU - Aspuru-Guzik, Alán
AU - Tabor, Daniel P.
AU - Nelson, Jenny
AU - Murphy, James
AU - Setlur, Anant
AU - Gregoire, John
AU - Li, Hong
AU - Xiao, Ruijuan
AU - Ludwig, Alfred
AU - Martin, Lane W.
AU - Rappe, Andrew M.
AU - Wei, Su Huai
AU - Perkins, John
N1 - Publisher Copyright:
© 2018 IOP Publishing Ltd.
PY - 2019/1/2
Y1 - 2019/1/2
N2 - 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.
AB - 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.
KW - density functional theory
KW - energy applications
KW - high-throughput methods
KW - materials design
KW - materials genome initative
UR - http://www.scopus.com/inward/record.url?scp=85056483101&partnerID=8YFLogxK
U2 - 10.1088/1361-6463/aad926
DO - 10.1088/1361-6463/aad926
M3 - Review article
AN - SCOPUS:85056483101
SN - 0022-3727
VL - 52
JO - Journal of Physics D: Applied Physics
JF - Journal of Physics D: Applied Physics
IS - 1
M1 - 013001
ER -