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Cited by 164

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Tunable porous nanoallotropes prepared by post-assembly etching of binary nanoparticle superlattices

Udayabhaskararao, Thumu, Altantzis, Thomas, Houben, Lothar, Coronado-Puchau, Marc, Langer, Judith, Popovitz-Biro, Ronit, Liz-Marzán, Luis M., Vuković, Lela, Král, Petr, Bals, Sara, Klajn, Rafal·2017·Science

Abstract

Non–close-packed nanoparticle arrays: Films of colloidal nanoparticles usually form dense, close-packed lattices. If binary lattices could be made and one component removed, then a more open array could form, as long as the remaining nanoparticles could be stabilized. Udayabhaskararao et al. formed binary superlattices of gold and magnetite nanoparticles at an air-liquid interface that could then be transferred to carbon-coated surfaces (see the Perspective by Kotov). Selective etching of either of the nanoparticles created non–close-packed arrays with vacancies stabilized by the carbon surface. Science , this issue p. 514 ; see also p. 448

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Metadata

Authors
Udayabhaskararao, T., Altantzis, T., Houben, L., Coronado-Puchau, M., Langer, J., Popovitz-Biro, R., Liz-Marzán, L. M., Vuković, L., Král, P., Bals, S., & Klajn, R.
Venue
Science
Published
2017-10-27
Volume
358
Issue
6362
Pages
514-518
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2765846400
Cited by
164
References
2
FWCI
8.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Tunable porous nanoallotropes prepared by post-assembly etching of binary nanoparticle superlattices. https://app.cochat.ai/papers/10.1126/science.aan6046
The paper
Udayabhaskararao, T., Altantzis, T., Houben, L., Coronado-Puchau, M., Langer, J., Popovitz-Biro, R., Liz-Marzán, L. M., Vuković, L., Král, P., Bals, S., & Klajn, R. (2017). Tunable porous nanoallotropes prepared by post-assembly etching of binary nanoparticle superlattices. Science. https://doi.org/10.1126/science.aan6046

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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.