The 2019 materials by design roadmap
Creators
- Alberi, Kirstin1
- Zakutayev, Andriy1
- Lany, Stephan1
- Nardelli, Marco Buongiorno2
- Mitas, Lubos3
- Curtarolo, Stefano4
- Jain, Anubhav5
- Fornari, Marco6
- Marzari, Nicola7
- Takeuchi, Ichiro8
- Green, Martin L9
- Kanatzidis, Mercouri10
- Toney, Mike F11
- Butenko, Sergiy12
- Meredig, Bryce13
- Kattner, Ursula14
- Davydov, Albert14
- Toberer, Eric S15
- Stevanovic, Vladan15
- and others
- 1. National Renewable Energy Laboratory, Golden, CO 80401 (United States)
- 2. University of North Texas, Denton, TX (United States)
- 3. North Carolina State University, Raleigh, NC (United States)
- 4. Duke University, Durham, NC (United States)
- 5. Energy Storage and Distributed Resources Department, Lawrence Berkeley National Laboratory, Berkeley, CA (United States)
- 6. Department of Physics, Central Michigan University, Mt. Pleasant, MI 48859 (United States)
- 7. Theory and Simulation of Materials, École Polytechnique Fédérale de Lausanne, 1015 Lausanne (Switzerland)
- 8. University of Maryland, College Park, MD (United States)
- 9. Materials Measurement Science Division, National Institute of Standards and Technology, Gaithersburg, MD (United States)
- 10. Northwestern University, Evanston, IL (United States)
- 11. SLAC, Menlo Park, CA (United States)
- 12. Department of Industrial and Systems Engineering, Texas A and M University, College Station, TX (United States)
- 13. Citrine Informatics, Redwood City, CA (United States)
- 14. Materials Science and Engineering Division, National Institute of Standards and Technology, Gaithersburg, MD (United States)
- 15. Colorado School of Mines, Golden, CO (United States)
Description
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. (topical review)
Availability note (English)
Available from http://dx.doi.org/10.1088/1361-6463/aad926Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. D, Applied Physics
- Journal Volume
- 52
- Journal Issue
- 1
- Journal Page Range
- [48 p.]
- ISSN
- 0022-3727
- CODEN
- JPAPBE
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52054431
- Subject category
- S36: MATERIALS SCIENCE;
- Descriptors DEI
- ALLOYS; CATALYSTS; FORECASTING; MATERIALS; METALS; OXIDES; PHOTOVOLTAIC EFFECT; REVIEWS; SOLAR CELLS; SOLIDS; SYNTHESIS
- Descriptors DEC
- CHALCOGENIDES; DIRECT ENERGY CONVERTERS; DOCUMENT TYPES; ELEMENTS; EQUIPMENT; OXYGEN COMPOUNDS; PHOTOELECTRIC CELLS; PHOTOELECTRIC EFFECT; PHOTOVOLTAIC CELLS; SOLAR EQUIPMENT