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Cited by 306

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Imaging of Transient Structures Using Nanosecond in Situ TEM

Kim, Judy S., LaGrange, Thomas, Reed, Bryan W., Taheri, Mitra L., Armstrong, Michael R., King, Wayne E., Browning, Nigel D., Campbell, Geoffrey H.·2008·Science

Abstract

The microstructure and properties of a material depend on dynamic processes such as defect motion, nucleation and growth, and phase transitions. Transmission electron microscopy (TEM) can spatially resolve these nanoscale phenomena but lacks the time resolution for direct observation. We used a photoemitted electron pulse to probe dynamic events with “snapshot” diffraction and imaging at 15-nanosecond resolution inside of a dynamic TEM. With the use of this capability, the moving reaction front of reactive nanolaminates is observed in situ. Time-resolved images and diffraction show a transient cellular morphology in a dynamically mixing, self-propagating reaction front, revealing brief phase separation during cooling, and thus provide insights into the mechanisms driving the self-propagating high-temperature synthesis.

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Crossref · 10.1126/science.1161517

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Metadata

Authors
Kim, J. S., LaGrange, T., Reed, B. W., Taheri, M. L., Armstrong, M. R., King, W. E., Browning, N. D., & Campbell, G. H.
Venue
Science
Published
2008-09-12
Volume
321
Issue
5895
Pages
1472-1475
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2025079053
Cited by
306
References
9
FWCI
9.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Imaging of Transient Structures Using Nanosecond in Situ TEM. https://app.cochat.ai/papers/10.1126/science.1161517
The paper
Kim, J. S., LaGrange, T., Reed, B. W., Taheri, M. L., Armstrong, M. R., King, W. E., Browning, N. D., & Campbell, G. H. (2008). Imaging of Transient Structures Using Nanosecond in Situ TEM. Science. https://doi.org/10.1126/science.1161517

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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.