The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Computational development of the nanoporous materials genome
Open accessAbstract
The discovery of nanoporous materials is now being propelled by the analysis of big data combined with traditional computational thermodynamics calculations. In this Review, we analyse the current state of the art, with a focus on the generation of computational databases…
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Cites
Machine-learning-assisted materials discovery using failed experiments
Raccuglia, P., Elbert, K. C., Adler, P. D. F., Falk, C., Wenny, M. B., Mollo, A., Zeller, M., Friedler, S. A., Schrier, J., & Norquist, A. J. (2016) · Nature · doi:10.1038/nature17439 · Cited by 1,727
Large-scale screening of hypothetical metal–organic frameworks
Wilmer, C. E., Leaf, M., Lee, C. Y., Farha, O. K., Hauser, B. G., Hupp, J. T., & Snurr, R. Q. (2012) · Nature Chemistry · doi:10.1038/nchem.1192 · Cited by 1,439
Tan, J. C., & Cheetham, A. K. (2011) · Chemical Society Reviews · doi:10.1039/c0cs00163e · Cited by 762
Rufford, T. E., Smart, S., Watson, G. C. Y., Graham, B. F., Boxall, J., Diniz da Costa, J. C., & May, E. F. (2012) · Journal of Petroleum Science and Engineering · doi:10.1016/j.petrol.2012.06.016 · Cited by 676
Evaluating topologically diverse metal–organic frameworks for cryo-adsorbed hydrogen storage
Gómez-Gualdrón, D. A., Colón, Y. J., Zhang, X., Wang, T. C., Chen, Y.-S., Hupp, J. T., Yildirim, T., Farha, O. K., Zhang, J., & Snurr, R. Q. (2016) · Energy & Environmental Science · doi:10.1039/c6ee02104b · Cited by 332
Chung, Y. G., Gómez-Gualdrón, D. A., Li, P., Leperi, K. T., Deria, P., Zhang, H., Vermeulen, N. A., Stoddart, J. F., You, F., Hupp, J. T., et al. (2016) · Science Advances · doi:10.1126/sciadv.1600909 · Cited by 321
Computational Discovery of New Zeolite-Like Materials
Deem, M. W., Pophale, R., Cheeseman, P. A., & Earl, D. J. (2009) · The Journal of Physical Chemistry C · doi:10.1021/jp906984z · Cited by 182
Fernandez, M., Trefiak, N. R., & Woo, T. K. (2013) · The Journal of Physical Chemistry C · doi:10.1021/jp404287t · Cited by 167
Boyd, P. G., & Woo, T. K. (2016) · CrystEngComm · doi:10.1039/c6ce00407e · Cited by 157
Self-citationConstruction and Characterization of Structure Models of Crystalline Porous Polymers
Martin, R. L., & Haranczyk, M. (2014) · Crystal Growth & Design · doi:10.1021/cg500158c · Cited by 116
Cited by
Data-driven design of metal–organic frameworks for wet flue gas CO2 capture
Boyd, P. G., Chidambaram, A., García-Díez, E., Ireland, C. P., Daff, T. D., Bounds, R., Gładysiak, A., Schouwink, P., Moosavi, S. M., Maroto-Valer, M. M., et al. (2019) · Nature · doi:10.1038/s41586-019-1798-7 · Cited by 885
Self-citationUnderstanding the diversity of the metal-organic framework ecosystem
Moosavi, S. M., Nandy, A., Jablonka, K. M., Ongari, D., Janet, J. P., Boyd, P. G., Lee, Y., Smit, B., & Kulik, H. J. (2020) · Nature Communications · doi:10.1038/s41467-020-17755-8 · Cited by 622
Self-citationEmerging applications of zeolites in catalysis, separation and host–guest assembly
Li, Y., & Yu, J. (2021) · Nature Reviews Materials · doi:10.1038/s41578-021-00347-3 · Cited by 585
Microporous framework membranes for precise molecule/ion separations
Dou, H., Xu, M., Wang, B., Zhang, Z., Wen, G., Zheng, Y., Luo, D., Zhao, L., Yu, A., Zhang, L., et al. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00552e · Cited by 371
Trends in Solid Adsorbent Materials Development for CO 2 Capture
Pardakhti, M., Jafari, T., Tobin, Z., Dutta, B., Moharreri, E., Shemshaki, N. S., Suib, S., & Srivastava, R. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b08487 · Cited by 357
Metadata
- Authors
- Boyd, P. G., Lee, Y., & Smit, B.
- Venue
- Nature Reviews Materials
- Published
- 2017-07-04
- Volume
- 2
- Issue
- 8
- ISSN
- 2058-8437 (ISSN-L)
- OpenAlex
- W2726135726
- Cited by
- 180
- References
- 11
- FWCI
- 0.71
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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