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Cited by 800

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

Seed‐Mediated Growth of Colloidal Metal Nanocrystals

Xia, Younan, Gilroy, Kyle D., Peng, Hsin‐Chieh, Xia, Xiaohu·2017·Angewandte Chemie International Edition

Abstract

Seed‐mediated growth is a powerful and versatile approach for the synthesis of colloidal metal nanocrystals. The vast allure of this approach mainly stems from the staggering degree of control one can achieve over the size, shape, composition, and structure of nanocrystals. These parameters not only control the properties of nanocrystals but also determine their relevance to, and performance in, various applications. The ingenuity and artistry inherent to seed‐mediated growth offer extensive promise, enhancing a number of existing applications and opening the door to new developments. This Review demonstrates how the diversity of metal nanocrystals can be expanded with endless opportunities by using seeds with well‐defined and controllable internal structures in conjunction with a proper combination of capping agent and reduction kinetics. New capabilities and future directions are also highlighted.

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Crossref · 10.1002/anie.201604731

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Metadata

Authors
Xia, Y., Gilroy, K. D., Peng, H., & Xia, X.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2016-12-14
Volume
56
Issue
1
Pages
60-95
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2561188059
Cited by
800
References
21
FWCI
22.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Seed‐Mediated Growth of Colloidal Metal Nanocrystals. https://app.cochat.ai/papers/10.1002/anie.201604731
The paper
Xia, Y., Gilroy, K. D., Peng, H., & Xia, X. (2017). Seed‐Mediated Growth of Colloidal Metal Nanocrystals. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201604731

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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.