The DOI matches its Crossref record; 134 of the 134 references it cites were found in a registry or an index.
High-throughput computational screening of metal–organic frameworks
Abstract
High-throughput computational screening of MOFs allows identification of promising candidates, new structure–property relationships, and performance limits.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Chemistry and Applications of Metal-Organic Frameworks
Furukawa, H., Cordova, K. E., O’Keeffe, M., & Yaghi, O. M. (2013) · Science · doi:10.1126/science.1230444 · Cited by 16,945
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
UFF, a full periodic table force field for molecular mechanics and molecular dynamics simulations
Rappe, A. K., Casewit, C. J., Colwell, K. S., Goddard, W. A., & Skiff, W. M. (1992) · Journal of the American Chemical Society · doi:10.1021/ja00051a040 · Cited by 10,557
The Cambridge Structural Database: a quarter of a million crystal structures and rising
Allen, F. H. (2002) · Acta Crystallographica Section B Structural Science · doi:10.1107/s0108768102003890 · Cited by 9,898
Selective gas adsorption and separation in metal–organic frameworks
Li, J.-R., Kuppler, R. J., & Zhou, H.-C. (2009) · Chemical Society Reviews · doi:10.1039/b802426j · Cited by 8,932
Design and synthesis of an exceptionally stable and highly porous metal-organic framework
Li, H., Eddaoudi, M., O'Keeffe, M., & Yaghi, O. M. (1999) · Nature · doi:10.1038/46248 · Cited by 8,554
Eddaoudi, M., Kim, J., Rosi, N., Vodak, D., Wachter, J., O'Keeffe, M., & Yaghi, O. M. (2002) · Science · doi:10.1126/science.1067208 · Cited by 8,132
Metal-organic framework materials as catalysts
Lee, J., Farha, O. K., Roberts, J., Scheidt, K. A., Nguyen, S. T., & Hupp, J. T. (2009) · Chemical Society Reviews · doi:10.1039/b807080f · Cited by 7,969
Metal–Organic Framework Materials as Chemical Sensors
Kreno, L. E., Leong, K., Farha, O. K., Allendorf, M., Van Duyne, R. P., & Hupp, J. T. (2012) · Chemical Reviews · doi:10.1021/cr200324t · Cited by 7,136
DREIDING: a generic force field for molecular simulations
Mayo, S. L., Olafson, B. D., & Goddard, W. A. (1990) · The Journal of Physical Chemistry · doi:10.1021/j100389a010 · Cited by 6,585
Cited by
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
Proton Transport in Metal–Organic Frameworks
Lim, D.-W., & Kitagawa, H. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00842 · Cited by 689
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
Energy-based descriptors to rapidly predict hydrogen storage in metal–organic frameworks
Bucior, B. J., Bobbitt, N. S., Islamoglu, T., Goswami, S., Gopalan, A., Yildirim, T., Farha, O. K., Bagheri, N., & Snurr, R. Q. (2019) · Molecular Systems Design & Engineering · doi:10.1039/c8me00050f · Cited by 308
Self-citationPardakhti, M., Moharreri, E., Wanik, D., Suib, S. L., & Srivastava, R. (2017) · ACS Combinatorial Science · doi:10.1021/acscombsci.7b00056 · Cited by 254
Metadata
- Authors
- Colón, Y. J., & Snurr, R. Q.
- Venue
- Chem. Soc. Rev.
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014
- Volume
- 43
- Issue
- 16
- Pages
- 5735-5749
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2138085558
- Cited by
- 470
- References
- 134
- FWCI
- 0.50
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: High-throughput computational screening of metal–organic frameworks. https://app.cochat.ai/papers/10.1039/c4cs00070f
- The paper
- Colón, Y. J., & Snurr, R. Q. (2014). High-throughput computational screening of metal–organic frameworks. Chem. Soc. Rev. https://doi.org/10.1039/c4cs00070f
Data sources
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.
