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The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Nanoscale temperature measurements using non-equilibrium Brownian dynamics of a levitated nanosphere

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Millen, J., Deesuwan, T., Barker, P., Anders, J.·2014·Nature Nanotechnology

Abstract

Einstein realized that the fluctuations of a Brownian particle can be used to ascertain the properties of its environment. A large number of experiments have since exploited the Brownian motion of colloidal particles for studies of dissipative processes, providing insight into soft matter physics and leading to applications from energy harvesting to medical imaging. Here, we use heated optically levitated nanospheres to investigate the non-equilibrium properties of the gas surrounding them. Analysing the sphere's Brownian motion allows us to determine the temperature of the centre-of-mass motion of the sphere, its surface temperature and the heated gas temperature in two spatial dimensions. We observe asymmetric heating of the sphere and gas, with temperatures reaching the melting point of the material. This method offers opportunities for accurate temperature measurements with spatial resolution on the nanoscale, and provides a means for testing non-equilibrium thermodynamics.

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Metadata

Authors
Millen, J., Deesuwan, T., Barker, P., & Anders, J.
Venue
Nature Nanotechnology
Published
2014-05-04
Volume
9
Issue
6
Pages
425-429
ISSN
  • 1748-3387 (ISSN-L)
  • 1748-3395
OpenAlex
W2067992099
Cited by
278
References
23
FWCI
18.90
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Nanoscale temperature measurements using non-equilibrium Brownian dynamics of a levitated nanosphere. https://app.cochat.ai/papers/10.1038/nnano.2014.82
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Millen, J., Deesuwan, T., Barker, P., & Anders, J. (2014). Nanoscale temperature measurements using non-equilibrium Brownian dynamics of a levitated nanosphere. Nature Nanotechnology. https://doi.org/10.1038/nnano.2014.82

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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.