The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Atomistic understandings of reduced graphene oxide as an ultrathin-film nanoporous membrane for separations
Open accessAbstract
The intrinsic defects in reduced graphene oxide (rGO) formed during reduction processes can act as nanopores, making rGO a promising ultrathin-film membrane candidate for separations. To assess the potential of rGO for such applications, molecular dynamics techniques are employed to understand the defect formation in rGO and their separation performance in water desalination and natural gas purification. We establish the relationship between rGO synthesis parameters and defect sizes, resulting in a potential means to control the size of nanopores in rGO. Furthermore, our results show that rGO membranes obtained under properly chosen synthesis conditions can achieve effective separations and provide significantly higher permeate fluxes than currently available membranes.
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
Fast Parallel Algorithms for Short-Range Molecular Dynamics
Plimpton, S. (1995) · Journal of Computational Physics · doi:10.1006/jcph.1995.1039 · Cited by 44,721
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
Cited by
Fei, H., Dong, J., Feng, Y., Allen, C. S., Wan, C., Volosskiy, B., Li, M., Zhao, Z., Wang, Y., Sun, H., et al. (2018) · Nature Catalysis · doi:10.1038/s41929-017-0008-y · Cited by 1,973
Multilayer Nanoporous Graphene Membranes for Water Desalination
Cohen-Tanugi, D., Lin, L.-C., & Grossman, J. C. (2016) · Nano Letters · doi:10.1021/acs.nanolett.5b04089 · Cited by 401
Self-citationGated CO2 permeation across dynamic graphene pores
Bondaz, L., Ronghe, A., Ganapathy Ayappa, K., & Agrawal, K. V. (2025) · Nature Communications · doi:10.1038/s41467-025-61518-2 · Cited by 12
Ni, C., Huang, S., Koudama, T. D., Wu, X., Cui, S., Shen, X., & Chen, X. (2023) · Gels · doi:10.3390/gels9040313 · Cited by 3
Metadata
- Authors
- Lin, L.-C., & Grossman, J. C.
- Venue
- Nature Communications
- Published
- 2015-09-23
- Volume
- 6
- Issue
- 1
- Pages
- 8335-8335
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2266028782
- Cited by
- 264
- References
- 2
- FWCI
- 10.22
- Type
- journal article
- Language
- en
- Open access
- gold
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: Atomistic understandings of reduced graphene oxide as an ultrathin-film nanoporous membrane for separations. https://app.cochat.ai/papers/10.1038/ncomms9335
- The paper
- Lin, L.-C., & Grossman, J. C. (2015). Atomistic understandings of reduced graphene oxide as an ultrathin-film nanoporous membrane for separations. Nature Communications. https://doi.org/10.1038/ncomms9335
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.
