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Cited by 1,120

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Direction-Specific Interactions Control Crystal Growth by Oriented Attachment

Li, Dongsheng, Nielsen, Michael H., Lee, Jonathan R. I., Frandsen, Cathrine, Banfield, Jillian F., De Yoreo, James J.·2012·Science

Abstract

Growing in Liquid: The ability to control the growth of materials at the nanometer scale is key to nanotechnology. Materials grown in liquids, however, are difficult to track on a particle-by-particle basis during growth. Two studies used an in situ liquid cell to follow the formation of larger nanoparticles or nanorods grown in solvents using high-resolution transmission electron microscopes. Liao et al. (p. 1011 ) watched platinum iron nanorods form from kinked chains of connected nanoparticles that gradually reoriented and straightened to form rigid rods. Li et al. (p. 1014 ) observed the coalescence of iron oxyhydroxide nanoparticles through an oriented attachment mechanism, whereby two similar particles rotated until their corresponding crystal lattices aligned.

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Metadata

Authors
Li, D., Nielsen, M. H., Lee, J. R. I., Frandsen, C., Banfield, J. F., & De Yoreo, J. J.
Venue
Science
Published
2012-05-25
Volume
336
Issue
6084
Pages
1014-1018
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1999783956
Cited by
1,120
References
21
FWCI
32.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Direction-Specific Interactions Control Crystal Growth by Oriented Attachment. https://app.cochat.ai/papers/10.1126/science.1219643
The paper
Li, D., Nielsen, M. H., Lee, J. R. I., Frandsen, C., Banfield, J. F., & De Yoreo, J. J. (2012). Direction-Specific Interactions Control Crystal Growth by Oriented Attachment. Science. https://doi.org/10.1126/science.1219643

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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.