Journal article
Nature Communications, vol. 14, 2023, p. 7303
APA
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Mok, D. H., Li, H., Zhang, G., Lee, C., Jiang, K., & Back, S. (2023). Data-driven discovery of electrocatalysts for CO2 reduction using active motifs-based machine learning. Nature Communications, 14, 7303. https://doi.org/10.1038/s41467-023-43118-0
Chicago/Turabian
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Mok, Dong Hyeon, Hong Li, Guiru Zhang, Chaehyeon Lee, Kun Jiang, and Seoin Back. “Data-Driven Discovery of Electrocatalysts for CO2 Reduction Using Active Motifs-Based Machine Learning.” Nature Communications 14 (2023): 7303.
MLA
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Mok, Dong Hyeon, et al. “Data-Driven Discovery of Electrocatalysts for CO2 Reduction Using Active Motifs-Based Machine Learning.” Nature Communications, vol. 14, 2023, p. 7303, doi:10.1038/s41467-023-43118-0.
BibTeX Click to copy
@article{dong2023a,
title = {Data-driven discovery of electrocatalysts for CO2 reduction using active motifs-based machine learning},
year = {2023},
journal = {Nature Communications},
pages = {7303},
volume = {14},
doi = {10.1038/s41467-023-43118-0},
author = {Mok, Dong Hyeon and Li, Hong and Zhang, Guiru and Lee, Chaehyeon and Jiang, Kun and Back, Seoin}
}