The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Mechanical Strength of Nanoporous Graphene as a Desalination Membrane
Abstract
Recent advances in the development of nanoporous graphene (NPG) hold promise for the future of water supply by reverse osmosis (RO) desalination. But while previous studies have highlighted the potential of NPG as an RO membrane, there is less understanding as to whether NPG is strong enough to maintain its mechanical integrity under the high hydraulic pressures inherent to the RO desalination process. Here, we show that an NPG membrane can maintain its mechanical integrity in RO but that the choice of substrate for graphene is critical to this performance. Using molecular dynamics simulations and continuum fracture mechanics, we show that an appropriate substrate with openings smaller than 1 μm would allow NPG to withstand pressures exceeding 57 MPa (570 bar) or ten times more than typical pressures for seawater RO. Furthermore, we demonstrate that NPG membranes exhibit an unusual mechanical behavior in which greater porosity may help the membrane withstand even higher pressures.
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
VMD: visual molecular dynamics
Humphrey, W., Dalke, A., & Schulten, K. (1996) · Journal of Molecular Graphics · doi:10.1016/0263-7855(96)00018-5 · Cited by 66,952
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
Ultrastrong adhesion of graphene membranes
Koenig, S. P., Boddeti, N. G., Dunn, M. L., & Bunch, J. S. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.123 · Cited by 1,107
Cited by
Graphene research and their outputs: Status and prospect
Tiwari, S. K., Sahoo, S., Wang, N., & Huczko, A. (2020) · Journal of Science: Advanced Materials and Devices · doi:10.1016/j.jsamd.2020.01.006 · Cited by 817
Sun, P., Wang, K., & Zhu, H. (2016) · Advanced Materials · doi:10.1002/adma.201502595 · Cited by 668
Large-area graphene-nanomesh/carbon-nanotube hybrid membranes for ionic and molecular nanofiltration
Yang, Y., Yang, X., Liang, L., Gao, Y., Cheng, H., Li, X., Zou, M., Ma, R., Yuan, Q., & Duan, X. (2019) · Science · doi:10.1126/science.aau5321 · Cited by 648
A review on inorganic membranes for desalination and wastewater treatment
Goh, P. S., & Ismail, A. F. (2018) · Desalination · doi:10.1016/j.desal.2017.07.023 · Cited by 537
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-citation
Metadata
- Authors
- Cohen-Tanugi, D., & Grossman, J. C.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-10-30
- Volume
- 14
- Issue
- 11
- Pages
- 6171-6178
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2329801454
- Cited by
- 273
- References
- 3
- FWCI
- 16.60
- 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
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.