The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Etching gas-sieving nanopores in single-layer graphene with an angstrom precision for high-performance gas mixture separation
Open accessAbstract
High-density nanopores with a size resolution of 1 Å were etched on graphene by decoupled defect nucleation and pore expansion.
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Cites
Colloidal nanocrystal synthesis and the organic–inorganic interface
Yin, Y., & Alivisatos, A. P. (2005) · Nature · doi:10.1038/nature04165 · Cited by 3,273
Cited by
Two-dimensional nanochannel membranes for molecular and ionic separations
Wang, S., Yang, L., He, G., Shi, B., Li, Y., Wu, H., Zhang, R., Nunes, S., & Jiang, Z. (2020) · Chemical Society Reviews · doi:10.1039/c9cs00751b · Cited by 365
Self-citation2D Laminar Membranes for Selective Water and Ion Transport
Kang, Y., Xia, Y., Wang, H., & Zhang, X. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201902014 · Cited by 325
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
- Zhao, J., He, G., Huang, S., Villalobos, L. F., Dakhchoune, M., Bassas, H., & Agrawal, K. V.
- Venue
- Science Advances
- Published
- 2019-01-04
- Volume
- 5
- Issue
- 1
- Pages
- eaav1851-eaav1851
- ISSN
- 2375-2548 (ISSN-L)
- OpenAlex
- W2912483386
- Cited by
- 219
- References
- 1
- FWCI
- 18.70
- Type
- journal article
- Language
- en
- Open access
- gold
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- The paper
- Zhao, J., He, G., Huang, S., Villalobos, L. F., Dakhchoune, M., Bassas, H., & Agrawal, K. V. (2019). Etching gas-sieving nanopores in single-layer graphene with an angstrom precision for high-performance gas mixture separation. Science Advances. https://doi.org/10.1126/sciadv.aav1851
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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.
