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Phonon localization in heat conduction

Journal Article · · Science Advances
 [1];  [1];  [2];  [1];  [3];  [1];  [1];  [4];  [5];  [6];  [6];  [7];  [7];  [8];  [6];  [9];  [2];  [1]
  1. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). Dept. of Mechanical Engineering
  2. Univ. of California, Santa Barbara, CA (United States). Materials Dept.
  3. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). Dept. of Electrical Engineering and Computer Science
  4. Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source; Univ. of Science and Technology of China, Hefei (China). National Synchrotron Radiation Lab.
  5. Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source
  6. Brookhaven National Lab. (BNL), Upton, NY (United States). Condensed Matter Physics and Materials Science Dept.
  7. National Inst. of Standards and Technology (NIST), Gaithersburg, MD (United States). Center for Neutron Research
  8. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Center for Nanophase Materials Science
  9. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). Dept. of Electrical Engineering and Computer Science. Dept. of Physics

Nondiffusive phonon thermal transport, extensively observed in nanostructures, has largely been attributed to classical size effects, ignoring the wave nature of phonons. We report localization behavior in phonon heat conduction due to multiple scattering and interference events of broadband phonons, by measuring the thermal conductivities of GaAs/AlAs superlattices with ErAs nanodots randomly distributed at the interfaces. With an increasing number of superlattice periods, the measured thermal conductivities near room temperature increased and eventually saturated, indicating a transition from ballistic to diffusive transport. In contrast, at cryogenic temperatures the thermal conductivities first increased but then decreased, signaling phonon wave localization, as supported by atomistic Green's function simulations. The discovery of phonon localization suggests a new path forward for engineering phonon thermal transport.

Research Organization:
Energy Frontier Research Centers (EFRC) (United States). Center for Energy Efficient Materials (CEEM). Solid-State Solar-Thermal Energy Conversion Center (S3TEC); Brookhaven National Lab. (BNL), Upton, NY (United States); Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Univ. of California, Santa Barbara, CA (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
Grant/Contract Number:
SC0012704; SC0001299; SC0001009
OSTI ID:
1491683
Alternate ID(s):
OSTI ID: 1504458
OSTI ID: 1511938
Report Number(s):
BNL--210909-2019-JAAM
Journal Information:
Science Advances, Journal Name: Science Advances Journal Issue: 12 Vol. 4; ISSN 2375-2548
Publisher:
AAASCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (10)

Quantum mechanical modeling of anharmonic phonon-phonon scattering in nanostructures journal November 2020
Lattice Thermal Transport in Two-Dimensional Alloys and Fractal Heterostructures text January 2020
Spectral Phonon Transport Engineering Using Stacked Superlattice Structures journal September 2019
Heat transfer properties of Morpho butterfly wings and the dependence of these properties on the wing surface structure journal January 2020
New horizons in thermoelectric materials: Correlated electrons, organic transport, machine learning, and more journal May 2019
Effect of interface density, quality and period on the lattice thermal conductivity of nanocomposite materials journal January 2020
Origins of significant reduction of lattice thermal conductivity in graphene allotropes journal October 2019
Mode-conversion effects of phonons on Anderson localization journal December 2019
Anderson Localization Quenches Thermal Transport in Aperiodic Superlattices journal March 2019
Machine-learning-based interatomic potential for phonon transport in perfect crystalline Si and crystalline Si with vacancies journal July 2019

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