ISSN 0253-2778

CN 34-1054/N

Open AccessOpen Access JUSTC Engineering & Materials 08 November 2023

Thermophysical properties of 1D materials: transient characterization down to atomic level

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https://doi.org/10.52396/JUSTC-2023-0098
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  • Author Bio:

    Amin Karamati is pursuing his Ph.D. degree in Mechanical Engineering at Iowa State University since 2021. He received his M.S. and B.S. in Mechanical Engineering from K. N. Toosi University of Technology, Iran, in 2016 and 2013, respectively. Thermal transport in 1D scale has been his research focus. Currently, he is conducting research on the thermal characterization of micro/nanowires using Raman Spectroscopy, TET, and TPET techniques

    Shen Xu is a Professor of Shanghai University of Engineering Science. She received her B.S. from East China University of Science and Technology in 2008, M.S. from Fudan University in 2011, and her Ph.D. degree from Iowa State University in 2015. Her research interests cover energy transfer at the micro/nanoscale, heat transfer behavior of new materials and complex nanostructures, and multiphysics in the coupling of optical and temperature fields. She has developed the first time-domain differential Raman (TD-Raman) and frequency-resolved Raman (FR-Raman) techniques for high accuracy measurement of thermal conductivity and diffusivity of atomic-scale materials

    Huan Lin is a Professor in Engineering Thermophysics at Qingdao University of Technology. She obtained her Ph.D. degree from the College of Engineering, Ocean University of China in 2014, M.S. (2008) from Beijing Institute of Technology and B.S. (2006) from Shandong University of Technology. Her current research focuses on thermal characterization of micro and nano materials. She has developed the differential TET technique for measuring thermal conductivity of fibers and films down to ~nm scale, and conducted the first characterization of in-plane structure thermal domain size of 2D materials

    Mahya Rahbar is pursuing her Ph.D. degree in Mechanical Engineering at Iowa State University in 2022. She received her M.S. and B.S. in Chemical Engineering from the University of Tehran, Iran, in 2018 and 2021. Experimental investigation of thermal transport in micro/nanoscale materials has been her research focus. Currently, she is conducting research on optical-acoustic phonon temperature difference of 2D materials using Raman Spectroscopy

    Xinwei Wang is the Anson Marston Distinguished Professor and Wilkinson Professor in Interdisciplinary Engineering at Iowa State University. He obtained his Ph.D. degree from the School of Mechanical Engineering, Purdue University in 2001, M.S. (1996) and B.S. (1994) from the University of Science and Technology of China. Over the past 20 years, he has led his laboratory to develop new techniques for characterizing energy transport at the micro/nanoscale. His current research focuses on conjugated energy transport in 2D materials and interfaces

  • Corresponding author: E-mail: xwang3@iastate.edu
  • Received Date: 01 June 2023
  • Accepted Date: 21 August 2023
  • Available Online: 08 November 2023
  • The thermophysical properties of 1D micro/nanoscale materials could differ significantly from those of their bulk counterparts due to intensive energy carrier scattering by structures. This work provides an in-depth review of cutting-edge techniques employed for transient characterization of thermophysical properties at the micro/nanoscale scale. In terms of transient excitation, step Joule heating, step laser heating, pulsed laser heating, and frequency domain amplitude-modulated laser heating are covered. For thermal probing, electrical and Raman scattering-based physical principles are used. These techniques enable the measurement of thermal conductivity, thermal diffusivity, and specific heat from the sub-mm level down to the atomic level (single-atom thickness). This review emphasizes the advantages of these techniques over steady state techniques and their physics, challenges, and potential applications, highlighting their significance in unraveling the intricate thermal transport phenomena to the atomic level of 1D materials.
    SEM image of a nm-thick PAN fiber suspended between two electrodes for TET measurement. The inset shows the data fitting.
    The thermophysical properties of 1D micro/nanoscale materials could differ significantly from those of their bulk counterparts due to intensive energy carrier scattering by structures. This work provides an in-depth review of cutting-edge techniques employed for transient characterization of thermophysical properties at the micro/nanoscale scale. In terms of transient excitation, step Joule heating, step laser heating, pulsed laser heating, and frequency domain amplitude-modulated laser heating are covered. For thermal probing, electrical and Raman scattering-based physical principles are used. These techniques enable the measurement of thermal conductivity, thermal diffusivity, and specific heat from the sub-mm level down to the atomic level (single-atom thickness). This review emphasizes the advantages of these techniques over steady state techniques and their physics, challenges, and potential applications, highlighting their significance in unraveling the intricate thermal transport phenomena to the atomic level of 1D materials.
    • Transient electrothermal (TET) and differential TET techniques provide some of the most advanced characterizations of the thermophysical properties of 1D materials from sub-mm down to atomic thickness.
    • Transient photoelectro-thermal (TPET) and pulsed laser-assisted thermal relaxation (PLTR) techniques offer unique capabilities in measuring 1D materials of extremely high/low resistance or extremely fast thermal characteristic time while they can also measure normal 1D materials.
    • Energy transport state-resolved Raman (ET-Raman) and frequency domain ET-Raman (FET-Raman) provide probably the most advanced measurement of the thermophysical properties of 1D and 2D materials of nm-dimensions with the highest accuracy.

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    Figure  1.  (a, b) Schematic of the TET technique and TPET technique. (c) Graphene fiber TET signal with time as an example. Reproduced with permission from Ref. [54]. Copyright 2022. Elsevier. The inset is the suspended sample of 1.959 mm length. (d) Representation of the TET signal fitting: taking the natural of voltage subtracted by the steady state voltage. Reproduced with permission from Ref. [54]. Copyright 2022. Elsevier. The difference among the fittings using three different initial data treatments.

    Figure  2.  (a) SEM images of single polyacrylonitrile (PAN) wires. Reproduced with permission from Ref. [60]. Copyright 2007. Springer Nature. (b) SEM images of carbon nanocoils (CNCs). Reprinted with permission from Ref. [57]. Copyright 2016. American Chemical Society. (c) SEM images of 3C crystalline silicon carbide (SiC) microwires. Reproduced with permission from Ref. [56]. Copyright 2018. Elsevier. (d) SEM images of carbon nanotube (CNT) bundles. Reproduced with permission from Ref. [61]. Copyright 2018. Elsevier.

    Figure  3.  (a–c) The PLTR technique in the physical principle, schematics of the temperature response at the back side of the sample, and typical experimental data and fitting curve for in-plane heat conduction, respectively. Reproduced with permission from Ref. [65]. Copyright 2008. World Scientific Publishing. (d) Typical experimental data and fitting for cross-plane heat conduction. Reproduced with permission from Ref. [63]. Copyright 2017. Elsevier.

    Figure  4.  Mathematical relation behind the physical models of different types of heat sources.

    Figure  5.  (a) The cross-sectional schematic of a substrate with different nanofilm layers deposited. (b) Variation of the effective thermal diffusivity of an Ir-coated glass fiber against the inverse of the electrical resistance for 6.4 nm Ir layers coated on the glass fiber. (c) Linear fitting of ${\alpha _\text{eff}} \sim {L^2}$ for 1.33-layered graphene on PMMA. (d) Graphene temperature evolution with time and the temperature difference between PMMA and graphene in the middle point of the length direction. (b) Reprinted with permission from Ref. [75]. Copyright 2013. John Wiley and Sons, Inc. (c, d) Reproduced with permission from Ref. [59]. Copyright 2016. The Royal Society of Chemistry.

    Figure  6.  Physical principle of the FET-Raman technique. (a) Temperature rise of the suspended sample under CW laser heating. (b) Amplitude-modulated laser heating.

    Figure  7.  (a) 2D contour plot of the Raman shift for the G peak against laser power at 257 K for SWCNT bundles. Left side: for the CW case, the slope of linear fitting, as indicated with a solid black line, is ${\psi _\text{CW}} = (- 0.161 \pm 0.007)\,\,{\text{c}}{{\text{m}}^{ - 1}}\cdot{\text{m}}{{\text{W}}^{{ - 1}}}$. Right side: for the FR case, the slope of linear fitting, as indicated with a solid black line, is ${\psi _\text{FR}} = (- 0.118 \pm 0.006)\,\,{\text{c}}{{\text{m}}^{ - 1}}\cdot{\text{m}}{{\text{W}}^{{ - 1}}}$. (b) Theoretical values of the temperature rise ratio at 1 MHz from numerical modeling against the thermal diffusivity. Using the normalized RSC ($\varTheta$) from the experiment, the thermal diffusivity of SWCNTs can be interpolated, as indicated by the blue dashed line.

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