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Title: Engineering Nanoscale Thermal Transport: Size- and Spacing-Dependent Cooling of Nanostructures

Abstract

Nanoscale thermal transport is becoming ever more technologically important with the development of next-generation nanoelectronics, nanomediated thermal therapies, and high efficiency thermoelectric devices. However, direct experimental measurements of nondiffusive heat flow in nanoscale systems are challenging, and first-principle models of real geometries are not yet computationally feasible. In recent work, we used ultrafast pulses of short-wavelength light to uncover a previously-unobserved regime of nanoscale thermal transport that occurs when the width and separation of heat sources are comparable to the mean free paths of the dominant heat-carrying phonons in the substrate. We now systematically compare thermal transport from gratings of metallic nanolines with different periodicities, on both silicon and fused-silica substrates, to map the entire nanoscale thermal transport landscape – from closely spaced through increasingly isolated to fully isolated heat-transfer regimes. By monitoring the surface profile dynamics with subangstrom sensitivity, we directly measure thermal transport from the nanolines into the substrate. This allows us to quantify for the first time how the nanoline separation significantly impacts thermal transport into the substrate, making it possible to reach efficiencies that are within a factor of 2 of the diffusive (i.e., thin-film) limit. We also show that partially isolated nanolines perform significantly worse,more » because cooling occurs in a regime that is intermediate between close-packed and fully isolated heat sources. This work thus confirms the surprising prediction that closely spaced nanoscale heat sources can cool more quickly than when far apart. In conclusion, these results show that our predictive model is validated by experiment over a broad parameter space, which is important for benchmarking theories that go beyond the Fourier model of heat diffusion, and for informed design of nanoengineered systems.« less

Authors:
 [1];  [1];  [1];  [1];  [2];  [3];  [1];  [1];  [1]
  1. Univ. of Colorado, Boulder, CO (United States). JILA and Dept. of Physics
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  3. Univ. of California, Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC); Gordon and Betty Moore Foundation (GBMF)
OSTI Identifier:
1603506
Grant/Contract Number:  
AC02-05CH11231; GBMF4538
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Physical Review Applied
Additional Journal Information:
Journal Volume: 11; Journal Issue: 2; Journal ID: ISSN 2331-7019
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY

Citation Formats

Frazer, Travis D., Knobloch, Joshua L., Hoogeboom-Pot, Kathleen M., Nardi, Damiano, Chao, Weilun, Falcone, Roger W., Murnane, Margaret M., Kapteyn, Henry C., and Hernandez-Charpak, Jorge N. Engineering Nanoscale Thermal Transport: Size- and Spacing-Dependent Cooling of Nanostructures. United States: N. p., 2019. Web. doi:10.1103/PhysRevApplied.11.024042.
Frazer, Travis D., Knobloch, Joshua L., Hoogeboom-Pot, Kathleen M., Nardi, Damiano, Chao, Weilun, Falcone, Roger W., Murnane, Margaret M., Kapteyn, Henry C., & Hernandez-Charpak, Jorge N. Engineering Nanoscale Thermal Transport: Size- and Spacing-Dependent Cooling of Nanostructures. United States. doi:10.1103/PhysRevApplied.11.024042.
Frazer, Travis D., Knobloch, Joshua L., Hoogeboom-Pot, Kathleen M., Nardi, Damiano, Chao, Weilun, Falcone, Roger W., Murnane, Margaret M., Kapteyn, Henry C., and Hernandez-Charpak, Jorge N. Fri . "Engineering Nanoscale Thermal Transport: Size- and Spacing-Dependent Cooling of Nanostructures". United States. doi:10.1103/PhysRevApplied.11.024042. https://www.osti.gov/servlets/purl/1603506.
@article{osti_1603506,
title = {Engineering Nanoscale Thermal Transport: Size- and Spacing-Dependent Cooling of Nanostructures},
author = {Frazer, Travis D. and Knobloch, Joshua L. and Hoogeboom-Pot, Kathleen M. and Nardi, Damiano and Chao, Weilun and Falcone, Roger W. and Murnane, Margaret M. and Kapteyn, Henry C. and Hernandez-Charpak, Jorge N.},
abstractNote = {Nanoscale thermal transport is becoming ever more technologically important with the development of next-generation nanoelectronics, nanomediated thermal therapies, and high efficiency thermoelectric devices. However, direct experimental measurements of nondiffusive heat flow in nanoscale systems are challenging, and first-principle models of real geometries are not yet computationally feasible. In recent work, we used ultrafast pulses of short-wavelength light to uncover a previously-unobserved regime of nanoscale thermal transport that occurs when the width and separation of heat sources are comparable to the mean free paths of the dominant heat-carrying phonons in the substrate. We now systematically compare thermal transport from gratings of metallic nanolines with different periodicities, on both silicon and fused-silica substrates, to map the entire nanoscale thermal transport landscape – from closely spaced through increasingly isolated to fully isolated heat-transfer regimes. By monitoring the surface profile dynamics with subangstrom sensitivity, we directly measure thermal transport from the nanolines into the substrate. This allows us to quantify for the first time how the nanoline separation significantly impacts thermal transport into the substrate, making it possible to reach efficiencies that are within a factor of 2 of the diffusive (i.e., thin-film) limit. We also show that partially isolated nanolines perform significantly worse, because cooling occurs in a regime that is intermediate between close-packed and fully isolated heat sources. This work thus confirms the surprising prediction that closely spaced nanoscale heat sources can cool more quickly than when far apart. In conclusion, these results show that our predictive model is validated by experiment over a broad parameter space, which is important for benchmarking theories that go beyond the Fourier model of heat diffusion, and for informed design of nanoengineered systems.},
doi = {10.1103/PhysRevApplied.11.024042},
journal = {Physical Review Applied},
issn = {2331-7019},
number = 2,
volume = 11,
place = {United States},
year = {2019},
month = {2}
}

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