The DOI matches its Crossref record.
Free-Standing Single-Atom-Thick Iron Membranes Suspended in Graphene Pores
Abstract
Iron in Graphene: Carbon or other covalently bonded materials, like boron nitride, can form two-dimensional sheets because of the strong bonding between the atoms. In contrast, metals share electrons in a three-dimensional delocalized way, and this could preclude the formation of thin stable sheets. Nevertheless, Zhao et al. (p. 1228 ) observed pure iron membranes suspended across the pores in a graphene sheet. This phenomenon was discovered when an iron chloride solution, used to process the graphene, decomposed to form pure iron films across the pores.
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Citations
Cited by
Zeng, M., Xiao, Y., Liu, J., Yang, K., & Fu, L. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00633 · Cited by 574
Metallenes as functional materials in electrocatalysis
Prabhu, P., & Lee, J.-M. (2021) · Chemical Society Reviews · doi:10.1039/d0cs01041c · Cited by 427
Atomic Thickness Catalysts: Synthesis and Applications
Han, A., Zhang, Z., Li, X., Wang, D., & Li, Y. (2020) · Small Methods · doi:10.1002/smtd.202000248 · Cited by 43
Metadata
- Authors
- Zhao, J., Deng, Q., Bachmatiuk, A., Sandeep, G., Popov, A., Eckert, J., & Rümmeli, M. H.
- Venue
- Science
- Published
- 2014-03-14
- Volume
- 343
- Issue
- 6176
- Pages
- 1228-1232
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2089789361
- Cited by
- 330
- References
- 0
- FWCI
- 14.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Free-Standing Single-Atom-Thick Iron Membranes Suspended in Graphene Pores. https://app.cochat.ai/papers/10.1126/science.1245273
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- Zhao, J., Deng, Q., Bachmatiuk, A., Sandeep, G., Popov, A., Eckert, J., & Rümmeli, M. H. (2014). Free-Standing Single-Atom-Thick Iron Membranes Suspended in Graphene Pores. Science. https://doi.org/10.1126/science.1245273
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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.
