The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Real-Time Imaging of Pt 3 Fe Nanorod Growth in Solution
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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Cites
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Kinetics and Mechanisms of Aggregative Nanocrystal Growth
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A Nanozyme with Photo‐Enhanced Dual Enzyme‐Like Activities for Deep Pancreatic Cancer Therapy
Li, S., Shang, L., Xu, B., Wang, S., Gu, K., Wu, Q., Sun, Y., Zhang, Q., Yang, H., Zhang, F., et al. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201904751 · Cited by 466
Xia, B. Y., Wu, H. B., Yan, Y., Lou, X. W. (., & Wang, X. (2013) · Journal of the American Chemical Society · doi:10.1021/ja402955t · Cited by 464
Toward functional nanocomposites: taking the best of nanoparticles, polymers, and small molecules
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Metadata
- Authors
- Liao, H.-G., Cui, L., Whitelam, S., & Zheng, H.
- Venue
- Science
- Published
- 2012-05-25
- Volume
- 336
- Issue
- 6084
- Pages
- 1011-1014
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2068161718
- Cited by
- 733
- References
- 31
- FWCI
- 30.26
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
