Heat Under the Microscope: Uncovering the Microscopic Processes that Govern Thermal Transport

By Austin Minnich

Mechanical Engineering, California Institute of Technology, Pasadena, CA

Published on

Abstract

Thermal transport is a ubiquitous process that incorporates a wide range of physics and plays an essential role in nearly every technological application, ranging from space power generation to consumer electronics. In many solids, heat is carried by phonons, or quanta of lattice vibrations. Compared to other energy carriers such as electrons or photons, the microscopic transport properties of thermal phonons remain remarkably poorly understood, with much of our understanding still based on semi-empirical studies from over fifty years ago. In this talk, I will describe our efforts to uncover the microscopic processes that govern thermal transport by phonons. In particular, I will describe how our advances in computation and experiment have enabled the first direct measurements of thermal phonon transmission coefficients at solid interfaces. I will demonstrate how these insights are advancing applications ranging from thermoelectric waste heat recovery to radio astronomy.

Bio

Austin Minnich Austin Minnich is an Assistant Professor of Mechanical Engineering and Applied Physics at Caltech. He received his Bachelor's degree in Engineering Science from UC Berkeley in 2006, followed by an S.M. and Ph.D from MIT's Mechanical Engineering in 2008 and 2011, respectively. He started his faculty appointment in September 2011. He is the recipient of a 2013 NSF CAREER award and 2015 ONR Young Investigator Award.

Professor Minnich researches the physics and engineering of nanoscale heat transport. Nanostructured materials have novel thermal properties with applications in energy such as for thermoelectric materials, which convert heat directly to electricity. Minnich uses experimental techniques, including ultrafast optical experiments, to study transport at the length and time scales of the energy carriers themselves. These experiments measure properties of the energy carriers that are lost at macroscopic scales, allowing for a more complete understanding of nanoscale transport physics. Minnich also uses these results to design novel materials and thermal devices, such as more efficient thermoelectric materials and devices for thermal energy storage.

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Cite this work

Researchers should cite this work as follows:

  • Austin Minnich (2016), "Heat Under the Microscope: Uncovering the Microscopic Processes that Govern Thermal Transport," https://nanohub.org/resources/24649.

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Time

Location

Room 1001, Birck Nanotechnology Center, Purdue University, West Lafayette, IN

Tags

Heat Under the Microscope:
 Uncovering the Microscopic Processes that Govern 
 Thermal Transport
  • Heat under the microscope: Uncovering the microscopic processes that govern thermal transport 1. Heat under the microscope: Unc… 0
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  • Our research group 2. Our research group 31.097764431097765
    00:00/00:00
  • Views of heat conduction 3. Views of heat conduction 55.655655655655657
    00:00/00:00
  • Importance of microscopic view 4. Importance of microscopic view 115.01501501501502
    00:00/00:00
  • Microscopic view of heat conduction 5. Microscopic view of heat condu… 145.11177844511178
    00:00/00:00
  • Challenges for phonons 6. Challenges for phonons 201.33466800133468
    00:00/00:00
  • Outline 7. Outline 272.40573907240577
    00:00/00:00
  • Phonons and radio astronomy (a collaboration with Joel Schleeh, Chalmers University of Technology, Sweden) 8. Phonons and radio astronomy (a… 296.76343009676344
    00:00/00:00
  • ALMA (30-950 GHz) 9. ALMA (30-950 GHz) 341.44144144144144
    00:00/00:00
  • The impact of cooling 10. The impact of cooling 423.656990323657
    00:00/00:00
  • Noise saturation at low temperature 11. Noise saturation at low temper… 448.74874874874877
    00:00/00:00
  • Estimation of temperature rise 12. Estimation of temperature rise 547.313980647314
    00:00/00:00
  • Is Fourier's law the right equation? 13. Is Fourier's law the right equ… 608.14147480814154
    00:00/00:00
  • Computational Method 14. Computational Method 662.1955288621956
    00:00/00:00
  • Boundary conditions 15. Boundary conditions 732.13213213213214
    00:00/00:00
  • MC simulation at cryo and RT 16. MC simulation at cryo and RT 752.91958625291966
    00:00/00:00
  • Temperature distribution – 300 K 17. Temperature distribution – 3… 805.8391725058392
    00:00/00:00
  • Temperature distribution – 200 K 18. Temperature distribution – 2… 822.68935602268937
    00:00/00:00
  • Temperature distribution – 100 K 19. Temperature distribution – 1… 823.99065732399072
    00:00/00:00
  • Temperature distribution – 50 K 20. Temperature distribution – 5… 824.924924924925
    00:00/00:00
  • Temperature distribution – 20 K 21. Temperature distribution – 2… 825.95929262595928
    00:00/00:00
  • Temperature distribution – 15 K 22. Temperature distribution – 1… 828.86219552886223
    00:00/00:00
  • Temperature distribution – 10 K 23. Temperature distribution – 1… 833.76710043376715
    00:00/00:00
  • Temperature distribution – 5 K 24. Temperature distribution – 5… 840.37370704037369
    00:00/00:00
  • Temperature distribution – 1 K 25. Temperature distribution – 1… 841.54154154154162
    00:00/00:00
  • Temperature distribution – 0.1 K 26. Temperature distribution – 0… 842.60927594260932
    00:00/00:00
  • Channel versus ambient temperature 27. Channel versus ambient tempera… 970.50383717050386
    00:00/00:00
  • Is Fourier's law the right equation? 28. Is Fourier's law the right equ… 1006.8735402068736
    00:00/00:00
  • Ballistic conduction channels 29. Ballistic conduction channels 1136.5031698365033
    00:00/00:00
  • Estimation using phonon radiation 30. Estimation using phonon radiat… 1204.5045045045044
    00:00/00:00
  • Consequences 31. Consequences 1267.4674674674675
    00:00/00:00
  • Learning about thermal phonons 32. Learning about thermal phonons 1427.560894227561
    00:00/00:00
  • Views of thermal conductivity 33. Views of thermal conductivity 1444.7113780447114
    00:00/00:00
  • Experimental approach 34. Experimental approach 1464.3977310643977
    00:00/00:00
  • Phonon diffraction at rough boundaries 35. Phonon diffraction at rough bo… 1511.3113113113113
    00:00/00:00
  • Phonon Scattering at a Boundary 36. Phonon Scattering at a Boundar… 1553.4868201534869
    00:00/00:00
  • Phonon Boundary Scattering Models 37. Phonon Boundary Scattering Mod… 1603.9706373039708
    00:00/00:00
  • What is the specularity parameter? 38. What is the specularity parame… 1629.662996329663
    00:00/00:00
  • Silicon Membrane - Ideal to Measure Specularity 39. Silicon Membrane - Ideal to Me… 1640.206873540207
    00:00/00:00
  • Transient Grating Spectroscopy 40. Transient Grating Spectroscopy 1677.3773773773773
    00:00/00:00
  • Conventional Specularity Estimation 41. Conventional Specularity Estim… 1718.2182182182182
    00:00/00:00
  • Extra Constraints from Quasiballistic Transport 42. Extra Constraints from Quasiba… 1767.6676676676677
    00:00/00:00
  • Procedure to Extract Specularity Parameter 43. Procedure to Extract Speculari… 1831.5648982315649
    00:00/00:00
  • Constraints Across Temperatures & Grating Periods 44. Constraints Across Temperature… 1849.94994994995
    00:00/00:00
  • Extracted Specularity Parameter 45. Extracted Specularity Paramete… 1863.3299966633301
    00:00/00:00
  • Ziman Underpredicts Specularity 46. Ziman Underpredicts Specularit… 1915.915915915916
    00:00/00:00
  • Thermal Phonons are Specular 47. Thermal Phonons are Specular 1934.0340340340342
    00:00/00:00
  • Phonons at interfaces 48. Phonons at interfaces 2002.6693360026695
    00:00/00:00
  • How does heat cross solid interfaces? 49. How does heat cross solid inte… 2035.6690023356691
    00:00/00:00
  • Phonon transmission coefficients 50. Phonon transmission coefficien… 2049.1825158491824
    00:00/00:00
  • Time-domain thermoreflectance (TDTR) 51. Time-domain thermoreflectance … 2087.9546212879545
    00:00/00:00
  • TDTR: Principle 52. TDTR: Principle 2122.0553887220553
    00:00/00:00
  • TDTR: Measurement 53. TDTR: Measurement 2134.0674007340676
    00:00/00:00
  • Classical fitting procedure: Al/Si 54. Classical fitting procedure: A… 2152.5859192525859
    00:00/00:00
  • Inverse problem 55. Inverse problem 2186.8201534868203
    00:00/00:00
  • Getting H(T): ab-initio transport modeling 56. Getting H(T): ab-initio transp… 2224.090757424091
    00:00/00:00
  • Solving the BTE for TDTR 57. Solving the BTE for TDTR 2241.6082749416082
    00:00/00:00
  • Diffuse mismatch prediction 58. Diffuse mismatch prediction 2261.6616616616616
    00:00/00:00
  • Particle swarm optimization 59. Particle swarm optimization 2301.5682349015683
    00:00/00:00
  • Quantifying likelihood 60. Quantifying likelihood 2351.6850183516849
    00:00/00:00
  • Fitted TDTR data 61. Fitted TDTR data 2370.7374040707373
    00:00/00:00
  • Measured transmission coefficients 62. Measured transmission coeffici… 2378.3450116783451
    00:00/00:00
  • Interfacial spectral heat flux 63. Interfacial spectral heat flux 2699.4994994994995
    00:00/00:00
  • Effect of interfacial disorder 64. Effect of interfacial disorder 2712.9796463129796
    00:00/00:00
  • TDTR phase data 65. TDTR phase data 2753.31998665332
    00:00/00:00
  • Transmission across oxide layer 66. Transmission across oxide laye… 2758.6920253586923
    00:00/00:00
  • Conclusion: new understanding of interfaces 67. Conclusion: new understanding … 3033.0663997330666
    00:00/00:00
  • Summary 68. Summary 3064.5645645645645
    00:00/00:00
  • Acknowledgments 69. Acknowledgments 3069.6029362696031
    00:00/00:00