The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Porous Graphene as an Atmospheric Nanofilter
Abstract
The fabrication of nanoscale membranes exhibiting high selectivity is an emerging field of research. The possibility to use bottom‐up approaches to fabricate a filter with porous graphene and analyze its functionality with first principle calculations is investigated. Here, the porous network is produced by self‐assembly of the hexaiodo‐substituted macrocycle cyclohexa‐m‐phenylene (CHP). The resulting porous network exhibits an extremely high selectivity in favor of H 2 and He among other atmospheric gases, such as Ne, O 2, N 2, CO, CO 2, NH 3, and Ar. The presented membrane is superior to traditional filters using polymers or silica and could have great potential for further technological applications such as gas sensors or fuel cells.
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
Electric Field Effect in Atomically Thin Carbon Films
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Zhang, Y., Dubonos, S. V., Grigorieva, I. V., & Firsov, A. A. (2004) · Science · doi:10.1126/science.1102896 · Cited by 66,834
Semiempirical GGA‐type density functional constructed with a long‐range dispersion correction
Grimme, S. (2006) · Journal of Computational Chemistry · doi:10.1002/jcc.20495 · Cited by 31,038
A climbing image nudged elastic band method for finding saddle points and minimum energy paths
Henkelman, G., Uberuaga, B. P., & Jónsson, H. (2000) · The Journal of Chemical Physics · doi:10.1063/1.1329672 · Cited by 21,620
Two-dimensional gas of massless Dirac fermions in graphene
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Katsnelson, M. I., Grigorieva, I. V., Dubonos, S. V., & Firsov, A. A. (2005) · Nature · doi:10.1038/nature04233 · Cited by 21,611
Graphene: Status and Prospects
Geim, A. K. (2009) · Science · doi:10.1126/science.1158877 · Cited by 13,942
Separable dual-space Gaussian pseudopotentials
Goedecker, S., Teter, M., & Hutter, J. (1996) · Physical Review B · doi:10.1103/physrevb.54.1703 · Cited by 7,479
VandeVondele, J., Krack, M., Mohamed, F., Parrinello, M., Chassaing, T., & Hutter, J. (2005) · Computer Physics Communications · doi:10.1016/j.cpc.2004.12.014 · Cited by 5,822
Gaussian basis sets for accurate calculations on molecular systems in gas and condensed phases
VandeVondele, J., & Hutter, J. (2007) · The Journal of Chemical Physics · doi:10.1063/1.2770708 · Cited by 4,672
Elstner, M., Porezag, D., Jungnickel, G., Elsner, J., Haugk, M., Frauenheim, T., Suhai, S., & Seifert, G. (1998) · Physical Review B · doi:10.1103/physrevb.58.7260 · Cited by 4,124
Ultrafast graphene photodetector
Xia, F., Mueller, T., Lin, Y.-M., Valdes-Garcia, A., & Avouris, P. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.292 · Cited by 3,089
Cited by
Graphene-based materials: Synthesis and gas sorption, storage and separation
Gadipelli, S., & Guo, Z. X. (2015) · Progress in Materials Science · doi:10.1016/j.pmatsci.2014.10.004 · Cited by 734
Gas Separation in Nanoporous Graphene from First Principle Calculations
Ambrosetti, A., & Silvestrelli, P. L. (2014) · The Journal of Physical Chemistry C · doi:10.1021/jp504914u · Cited by 68
Ab Initio Energetic Barriers of Gas Permeation across Nanoporous Graphene
Rodriguez, A., Schlichting, K.-P., Poulikakos, D., & Hu, M. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c09229 · Cited by 10
Metadata
- Authors
- Blankenburg, S., Bieri, M., Fasel, R., Müllen, K., Pignedoli, C. A., & Passerone, D.
- Venue
- Small
- Publisher
- Wiley
- Published
- 2010-09-02
- Volume
- 6
- Issue
- 20
- Pages
- 2266-2271
- ISSN
- 1613-6810 (ISSN-L)
- 1613-6829
- OpenAlex
- W2155216854
- Cited by
- 373
- References
- 24
- FWCI
- 36.51
- 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: Porous Graphene as an Atmospheric Nanofilter. https://app.cochat.ai/papers/10.1002/smll.201001126
- The paper
- Blankenburg, S., Bieri, M., Fasel, R., Müllen, K., Pignedoli, C. A., & Passerone, D. (2010). Porous Graphene as an Atmospheric Nanofilter. Small. https://doi.org/10.1002/smll.201001126
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.
