Accelerating the discovery of materials for clean energy in the era of smart automation
Tabor DP, Roch LM, Saikin SK, Kreisbeck C, Sheberla D, Montoya JH, Dwaraknath S, Aykol M, Ortiz C, Tribukait H, Amador-Bedolla C, Brabec C, Maruyama B, Persson KA, Aspuru-Guzik A (2018)
Publication Language: English
Publication Status: Published
Publication Type: Journal article
Publication year: 2018
Journal
Publisher: NATURE PUBLISHING GROUP
Book Volume: 3
Journal Issue: 5
DOI: 10.1038/s41578-018-0005-z
Abstract
The discovery and development of novel materials in the field of energy are essential to accelerate the transition to a low-carbon economy. Bringing recent technological innovations in automation, robotics and computer science together with current approaches in chemistry, materials synthesis and characterization will act as a catalyst for revolutionizing traditional research and development in both industry and academia. This Perspective provides a vision for an integrated artificial intelligence approach towards autonomous materials discovery, which, in our opinion, will emerge within the next 5 to 10 years. The approach we discuss requires the integration of the following tools, which have already seen substantial development to date: high-throughput virtual screening, automated synthesis planning, automated laboratories and machine learning algorithms. In addition to reducing the time to deployment of new materials by an order of magnitude, this integrated approach is expected to lower the cost associated with the initial discovery. Thus, the price of the final products (for example, solar panels, batteries and electric vehicles) will also decrease. This in turn will enable industries and governments to meet more ambitious targets in terms of reducing greenhouse gas emissions at a faster pace.
Authors with CRIS profile
Involved external institutions
Harvard University
United States (USA) (US)
University of California, Berkeley
United States (USA) (US)
Air Force Research Laboratory (AFRL)
United States (USA) (US)
Lawrence Berkeley National Laboratory (LBNL)
United States (USA) (US)
Toyota
United States (USA) (US)
Fondo de Sustentabilidad Energética
Mexico (MX)
Secretaría de Energía
Mexico (MX)
National Autonomous University of Mexico / Universidad Nacional Autónoma de México (UNAM)
Mexico (MX)
United States (USA) (US)
University of California, Berkeley
United States (USA) (US)
Air Force Research Laboratory (AFRL)
United States (USA) (US)
Lawrence Berkeley National Laboratory (LBNL)
United States (USA) (US)
Toyota
United States (USA) (US)
Fondo de Sustentabilidad Energética
Mexico (MX)
Secretaría de Energía
Mexico (MX)
National Autonomous University of Mexico / Universidad Nacional Autónoma de México (UNAM)
Mexico (MX)
How to cite
APA:
Tabor, D.P., Roch, L.M., Saikin, S.K., Kreisbeck, C., Sheberla, D., Montoya, J.H.,... Aspuru-Guzik, A. (2018). Accelerating the discovery of materials for clean energy in the era of smart automation. Nature Reviews Materials, 3(5). https://dx.doi.org/10.1038/s41578-018-0005-z
MLA:
Tabor, Daniel P., et al. "Accelerating the discovery of materials for clean energy in the era of smart automation." Nature Reviews Materials 3.5 (2018).
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