Theory-guided design of catalytic materials using scaling relationships and reactivity descriptors
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Scaling relationships impose fundamental limits on catalytic optimization strategies based solely on electronic structure modulation.
“Because scaling relationships impose fundamental limits on catalytic optimization strategies based solely on electronic structure modulation,19,20”
From High-Entropy Alloy Aerogels with High-Density Solid–Solid Heterointerfaces for Alkaline Hydrogen Evolution (2026) · cites this paper as [19]
Cites
Computational high-throughput screening of electrocatalytic materials for hydrogen evolution
Greeley, J., Jaramillo, T. F., Bonde, J., Chorkendorff, I., & Nørskov, J. K. (2006) · Nature Materials · doi:10.1038/nmat1752 · Cited by 4,097 · see citing works
Hydrogen evolution by a metal-free electrocatalyst
Zheng, Y., Jiao, Y., Zhu, Y., Li, L. H., Han, Y., Chen, Y., Du, A., Jaroniec, M., & Qiao, S. Z. (2014) · Nature Communications · doi:10.1038/ncomms4783 · Cited by 2,236 · see citing works
Machine learning in materials informatics: recent applications and prospects
Ramprasad, R., Batra, R., Pilania, G., Mannodi-Kanakkithodi, A., & Kim, C. (2017) · npj Computational Materials · doi:10.1038/s41524-017-0056-5 · Cited by 1,945 · see citing works
Wang, P., Chang, F., Gao, W., Guo, J., Wu, G., He, T., & Chen, P. (2017) · Nature Chemistry · doi:10.1038/nchem.2595 · Cited by 711 · see citing works
Zhang, Y.-J., Sethuraman, V., Michalsky, R., & Peterson, A. A. (2014) · ACS Catalysis · doi:10.1021/cs5012298 · Cited by 509 · see citing works
Ulissi, Z. W., Tang, M. T., Xiao, J., Liu, X., Torelli, D. A., Karamad, M., Cummins, K., Hahn, C., Lewis, N. S., Jaramillo, T. F., et al. (2017) · ACS Catalysis · doi:10.1021/acscatal.7b01648 · Cited by 387 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
A review on fundamentals for designing oxygen evolution electrocatalysts
Song, J., Wei, C., Huang, Z.-F., Liu, C., Zeng, L., Wang, X., & Xu, Z. J. (2020) · Chemical Society Reviews · doi:10.1039/c9cs00607a · Cited by 2,936 · see citing works
Metallenes as functional materials in electrocatalysis
Prabhu, P., & Lee, J.-M. (2021) · Chemical Society Reviews · doi:10.1039/d0cs01041c · Cited by 427 · see citing works
Selvam, N. C. S., Du, L., Xia, B. Y., Yoo, P. J., & You, B. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202008190 · Cited by 289 · see citing works
Computational chemistry for water-splitting electrocatalysis
Miao, L., Jia, W., Cao, X., & Jiao, L. (2024) · Chemical Society Reviews · doi:10.1039/d2cs01068b · Cited by 241 · see citing works
Reversible hydrogen spillover at the atomic interface for efficient alkaline hydrogen evolution
Chao, T., Xie, W., Hu, Y., Yu, G., Zhao, T., Chen, C., Zhang, Z., Hong, X., Jin, H., Wang, D., et al. (2024) · Energy & Environmental Science · doi:10.1039/d3ee02760k · Cited by 215 · see citing works
Hydrothermal liquefaction of lignin to aromatic chemicals: impact of lignin structure
Cao, Y., Zhang, C., Tsang, D. C. W., Fan, J., Clark, J. H., & Zhang, S. (2020) · Industrial & Engineering Chemistry Research · doi:10.1021/acs.iecr.0c01617 · Cited by 128 · see citing works
Zhu, T., Liu, S., Huang, B., Shao, Q., Wang, M., Li, F., Tan, X., Pi, Y., Weng, S.-C., Huang, B., et al. (2021) · Energy & Environmental Science · doi:10.1039/d0ee04028b · Cited by 95 · see citing works
Self-citationWang, L., Zhen, S., Nallathambi, V., Wang, C., Shi, X., Lu, N., Hübner, R., Eychmüller, A., Reichenberger, S., Gault, B., et al. (2026) · Journal of the American Chemical Society · doi:10.1021/jacs.6c02377 · Cited by 1 · see citing works
- Authors
- Zhao, Z.-J., Liu, S., Zha, S., Cheng, D., Studt, F., Henkelman, G., & Gong, J.
- Affiliations
- Tianjin University (CN)
- Karlsruhe Institute of Technology (DE)
- The University of Texas at Austin (US)
- Corresponding author
- Gong, Jinlong
- Venue
- Nature Reviews Materials
- Published
- 2019-11-21
- Volume
- 4
- Issue
- 12
- Pages
- 792-804
- ISSN
- 2058-8437 (ISSN-L)
- OpenAlex
- W2990956209
- Cited by
- 657
- References
- 6
- Citations by year
- 2026: 88 · 2025: 128 · 2024: 122 · 2023: 93 · 2022: 91 · 2021: 82 · 2020: 52
- FWCI
- 2.86
- Type
- journal article
- Language
- en
- Update notices
- correction (2020-03-09)
- Open access
- closed
- Licence
- Locations
- Nature Reviews Materials (publishedVersion)
- Topics
- Physical Sciences › Materials Science › Materials Chemistry › Catalytic Processes in Materials Science
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Electrocatalysts for Energy Conversion
- Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
- Keywords
- heterogeneous catalysis, scaling laws, reactivity descriptors, catalyst design, d-band theory, electronic descriptors, structural descriptors, active site, high-throughput catalyst screening
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
