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Cited by 378

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Real-Time Monitoring of Growing Nanoparticles

Renaud, Gilles, Lazzari, Rémi, Revenant, Christine, Barbier, Antoine, Noblet, Marion, Ulrich, Olivier, Leroy, Frédéric, Jupille, Jacques, Borensztein, Yves, Henry, Claude R., Deville, Jean-Paul, Scheurer, Fabrice, Mane-Mane, Jeannot, Fruchart, Olivier·2003·Science

Abstract

One challenge in the production of nanometer-sized objects with given properties is to control their growth at a macroscopic scale in situ and in real time. A dedicated ultrahigh-vacuum grazing-incidence small-angle x-ray scattering setup has been developed, yielding high sensitivity and dynamics. Its capabilities to derive the average particle shape and size and the film growth mode and ordering and to probe both surfaces and buried interfaces are illustrated for two prototypical cases: the model catalyst Pd/MgO(100) and the self-organized Co/Au(111) system. A wide range of technologically important systems can potentially be investigated in various gaseous environments.

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Crossref · 10.1126/science.1082146

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Metadata

Authors
Renaud, G., Lazzari, R., Revenant, C., Barbier, A., Noblet, M., Ulrich, O., Leroy, F., Jupille, J., Borensztein, Y., Henry, C. R., Deville, J.-P., Scheurer, F., Mane-Mane, J., & Fruchart, O.
Venue
Science
Published
2003-05-30
Volume
300
Issue
5624
Pages
1416-1419
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2166331143
Cited by
378
References
1
FWCI
15.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Real-Time Monitoring of Growing Nanoparticles. https://app.cochat.ai/papers/10.1126/science.1082146
The paper
Renaud, G., Lazzari, R., Revenant, C., Barbier, A., Noblet, M., Ulrich, O., Leroy, F., Jupille, J., Borensztein, Y., Henry, C. R., Deville, J.-P., Scheurer, F., Mane-Mane, J., & Fruchart, O. (2003). Real-Time Monitoring of Growing Nanoparticles. Science. https://doi.org/10.1126/science.1082146

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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.