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Cited by 226

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Heat transfer from nanoparticles: A corresponding state analysis

Open access
Merabia, Samy, Shenogin, Sergei, Joly, Laurent, Keblinski, Pawel, Barrat, Jean-Louis·2009·Proceedings of the National Academy of Sciences

Abstract

In this contribution, we study situations in which nanoparticles in a fluid are strongly heated, generating high heat fluxes. This situation is relevant to experiments in which a fluid is locally heated by using selective absorption of radiation by solid particles. We first study this situation for different types of molecular interactions, using models for gold particles suspended in octane and in water. As already reported in experiments, very high heat fluxes and temperature elevations (leading eventually to particle destruction) can be observed in such situations. We show that a very simple modeling based on Lennard–Jones (LJ) interactions captures the essential features of such experiments and that the results for various liquids can be mapped onto the LJ case, provided a physically justified (corresponding state) choice of parameters is made. Physically, the possibility of sustaining very high heat fluxes is related to the strong curvature of the interface that inhibits the formation of an insulating vapor film.

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Metadata

Authors
Merabia, S., Shenogin, S., Joly, L., Keblinski, P., & Barrat, J.-L.
Venue
Proceedings of the National Academy of Sciences
Published
2009-09-08
Volume
106
Issue
36
Pages
15113-15118
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2021678083
Cited by
226
References
2
FWCI
6.59
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Heat transfer from nanoparticles: A corresponding state analysis. https://app.cochat.ai/papers/10.1073/pnas.0901372106
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Merabia, S., Shenogin, S., Joly, L., Keblinski, P., & Barrat, J.-L. (2009). Heat transfer from nanoparticles: A corresponding state analysis. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0901372106

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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