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Cited by 386

The DOI matches its Crossref record; 310 of the 310 references it cites were found in a registry or an index.

In Situ Kinetic Observations on Crystal Nucleation and Growth

Li, Junjie, Deepak, Francis Leonard·2022·Chemical Reviews

Abstract

Nucleation and growth are critical steps in crystallization, which plays an important role in determining crystal structure, size, morphology, and purity. Therefore, understanding the mechanisms of nucleation and growth is crucial to realize the controllable fabrication of crystalline products with desired and reproducible properties. Based on classical models, the initial crystal nucleus is formed by the spontaneous aggregation of ions, atoms, or molecules, and crystal growth is dependent on the monomer’s diffusion and the surface reaction. Recently, numerous in situ investigations on crystallization dynamics have uncovered the existence of nonclassical mechanisms. This review provides a summary and highlights the in situ studies of crystal nucleation and growth, with a particular emphasis on the state-of-the-art research progress since the year 2016, and includes technological advances, atomic-scale observations, substrate- and temperature-dependent nucleation and growth, and the progress achieved in the various materials: metals, alloys, metallic compounds, colloids, and proteins. Finally, the forthcoming opportunities and challenges in this fascinating field are discussed.

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Metadata

Authors
Li, J., & Deepak, F. L.
Venue
Chemical Reviews
Published
2022-11-08
Volume
122
Issue
23
Pages
16911-16982
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
OpenAlex
W4308572905
Cited by
386
References
310
FWCI
3.04
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: In Situ Kinetic Observations on Crystal Nucleation and Growth. https://app.cochat.ai/papers/10.1021/acs.chemrev.1c01067
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Li, J., & Deepak, F. L. (2022). In Situ Kinetic Observations on Crystal Nucleation and Growth. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.1c01067

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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.