Machine learning for a sustainable energy future

Zhenpeng Yao; Yanwei Lum; Andrew K. Johnston; L.M. Mejía-Mendoza; Xin Zhou; Yonggang Wen; Alán Aspuru‐Guzik; Edward Hartley Sargent; Zhi Wei Seh

doi:10.1038/s41578-022-00490-5

Machine learning for a sustainable energy future

Zhenpeng Yao (Shanghai Jiao Tong University) iD Yanwei Lum (Agency for Science, Technology and Research) iD Andrew K. Johnston (University of Toronto) iD L.M. Mejía-Mendoza (University of Toronto) iD Xin Zhou (Nanyang Technological University) iD Yonggang Wen (Nanyang Technological University) iD Alán Aspuru‐Guzik (University of Toronto) iD Edward Hartley Sargent (University of Toronto) iD Zhi Wei Seh (Agency for Science, Technology and Research) iD

Journal: Nature Reviews Materials • 2022-10-18 • Nature Portfolio • ISSN: 2058-8437

Abstract

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Subjects & Keywords

# Machine Learning in Materials Science # Materials Science # Electrocatalysts for Energy Conversion # Energy # Artificial Intelligence Applications # Computer Science

How to Cite this Article

                    Zhenpeng Yao, Yanwei Lum, Andrew K. Johnston, et al. (2022). "Machine learning for a sustainable energy future". Nature Reviews Materials. https://doi.org/10.1038/s41578-022-00490-5                

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Identifiers & Provenance

DOI: https://doi.org/10.1038/s41578-022-00490-5 ↗
PMCID: 9579620 ↗
PMID: 36277083 ↗
OpenAlex: W4306698380 ↗
Primary Index: OPENALEX