The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Accelerated discovery of CO2 electrocatalysts using active machine learning
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Cites
Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
Jain, A., Ong, S. P., Hautier, G., Chen, W., Richards, W. D., Dacek, S., Cholia, S., Gunter, D., Skinner, D., Ceder, G., et al. (2013) · APL Materials · doi:10.1063/1.4812323 · Cited by 13,094
Combining theory and experiment in electrocatalysis: Insights into materials design
Seh, Z. W., Kibsgaard, J., Dickens, C. F., Chorkendorff, I., Nørskov, J. K., & Jaramillo, T. F. (2017) · Science · doi:10.1126/science.aad4998 · Cited by 12,114
Trends in the exchange current for hydrogen evolution
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How copper catalyzes the electroreduction of carbon dioxide into hydrocarbon fuels
Peterson, A. A., Abild-Pedersen, F., Studt, F., Rossmeisl, J., & Nørskov, J. K. (2010) · Energy & Environmental Science · doi:10.1039/c0ee00071j · Cited by 3,784
What would it take for renewably powered electrosynthesis to displace petrochemical processes?
De Luna, P., Hahn, C., Higgins, D., Jaffer, S. A., Jaramillo, T. F., & Sargent, E. H. (2019) · Science · doi:10.1126/science.aav3506 · Cited by 3,052
Self-citationCovalent organic frameworks comprising cobalt porphyrins for catalytic CO 2 reduction in water
Lin, S., Diercks, C. S., Zhang, Y.-B., Kornienko, N., Nichols, E. M., Zhao, Y., Paris, A. R., Kim, D., Yang, P., Yaghi, O. M., et al. (2015) · Science · doi:10.1126/science.aac8343 · Cited by 2,644
CO 2 electroreduction to ethylene via hydroxide-mediated copper catalysis at an abrupt interface
Dinh, C.-T., Burdyny, T., Kibria, M. G., Seifitokaldani, A., Gabardo, C. M., García de Arquer, F. P., Kiani, A., Edwards, J. P., De Luna, P., Bushuyev, O. S., et al. (2018) · Science · doi:10.1126/science.aas9100 · Cited by 2,515
Self-citationAccelerating t-SNE using tree-based algorithms
van der Maaten, L. (2014) · doi:10.5555/2627435.2697068 · Cited by 2,226
Catalysts and Reaction Pathways for the Electrochemical Reduction of Carbon Dioxide
Kortlever, R., Shen, J., Schouten, K. J. P., Calle-Vallejo, F., & Koper, M. T. M. (2015) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.5b01559 · Cited by 2,175
Enhanced electrocatalytic CO2 reduction via field-induced reagent concentration
Liu, M., Pang, Y., Zhang, B., De Luna, P., Voznyy, O., Xu, J., Zheng, X., Dinh, C. T., Fan, F., Cao, C., et al. (2016) · Nature · doi:10.1038/nature19060 · Cited by 2,000
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Technologies and perspectives for achieving carbon neutrality
Wang, F., Harindintwali, J. D., Yuan, Z., Wang, M., Wang, F., Li, S., Yin, Z., Huang, L., Fu, Y., Li, L., et al. (2021) · The Innovation · doi:10.1016/j.xinn.2021.100180 · Cited by 1,330
Chen, F.-Y., Wu, Z.-Y., Adler, Z., & Wang, H. (2021) · Joule · doi:10.1016/j.joule.2021.05.005 · Cited by 1,284
Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems
Keith, J. A., Vassilev-Galindo, V., Cheng, B., Chmiela, S., Gastegger, M., Müller, K.-R., & Tkatchenko, A. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00107 · Cited by 849
Hart, G. L. W., Mueller, T., Toher, C., & Curtarolo, S. (2021) · Nature Reviews Materials · doi:10.1038/s41578-021-00340-w · Cited by 703
A generative model for inorganic materials design
Zeni, C., Pinsler, R., Zügner, D., Fowler, A., Horton, M., Fu, X., Wang, Z., Shysheya, A., Crabbé, J., Ueda, S., et al. (2025) · Nature · doi:10.1038/s41586-025-08628-5 · Cited by 518
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Metadata
- Authors
- Zhong, M., Tran, K., Min, Y., Wang, C., Wang, Z., Dinh, C.-T., De Luna, P., Yu, Z., Rasouli, A. S., Brodersen, P., Sun, S., Voznyy, O., Tan, C.-S., Askerka, M., Che, F., Liu, M., Seifitokaldani, A., Pang, Y., Lo, S.-C., Ip, A., Ulissi, Z., & Sargent, E. H.
- Venue
- Nature
- Published
- 2020-05-13
- Volume
- 581
- Issue
- 7807
- Pages
- 178-183
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W3025104221
- Cited by
- 1,531
- References
- 33
- FWCI
- 36.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Accelerated discovery of CO2 electrocatalysts using active machine learning. https://app.cochat.ai/papers/10.1038/s41586-020-2242-8
- The paper
- Zhong, M., Tran, K., Min, Y., Wang, C., Wang, Z., Dinh, C.-T., De Luna, P., Yu, Z., Rasouli, A. S., Brodersen, P., Sun, S., Voznyy, O., Tan, C.-S., Askerka, M., Che, F., Liu, M., Seifitokaldani, A., Pang, Y., Lo, S.-C., . . . Sargent, E. H. (2020). Accelerated discovery of CO2 electrocatalysts using active machine learning. Nature. https://doi.org/10.1038/s41586-020-2242-8
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
