Shangzhi Song’s research while affiliated with Huazhong University of Science and Technology and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (8)


(a) A schematic diagram of the SPS experimental setup. (b) Typical sample structure and related thermal parameters of a semiconductor heterostructure coated with a metal transducer layer for SPS measurement. (c)–(f) An example of measured SPS signals (symbols) and thermal model simulations (curves) on a 100 nm Al/silica sample, measured using a spot size of r 0 = 3.5 μ m and a modulation frequency of f 0 = 3 kHz, showing the raw signals and normalized signals of a complete heating period, as well as the heating and cooling phases, respectively.
(a) and (c) The SEM cross-sectional images of the GaN–Si and ε-Ga2O3–SiC heterostructures coated with Al films. (b) and (d) Heat transfer models established based on the sample structures, with related parameters labeled in the diagrams.
(a)–(d) SPS signals measured using a 10× objective lens at modulation frequencies of 5, 2.5, 1.1, and 0.25 MHz. (a1)–(d1) Normalized temperature amplitudes during the heating phase on a logarithmic scale. (a2)–(d2) Corresponding cooling-phase signals. Insets in (a1)–(d1) show the complete signal cycles with best-fit curves on a linear scale. (a3)–(d3) Sensitivity coefficients of heating-phase signals to the seven fitting parameters as a function of normalized time. (a4)–(d4) Sensitivity coefficients for the cooling-phase signals.
Mean squared percentage deviation (MSPD) between the measured SPS signals and model predictions as a function of k AlN values. The plot indicates a best-fit value of approximately 70 W/(m K), with sharp increases in deviations observed for k AlN values below this threshold and more gradual increases for values above.
Thermal property measurements of the GaN/Si epitaxial layered sample, including k GaN, k AlGaN, k Si, C GaN, C AlGaN, C Si, and G Al / GaN, plotted as a function of temperature. The measured values are compared with the available literature data: k GaN and k AlGaN from Mitterhuber et al.,²¹ k Si and C Si from the TPRC database,23,24 C GaN from Lee et al.,²⁵ and G Al / GaN from Bao et al.²⁶

+2

Comprehensive thermal property measurement of semiconductor heterostructures using the square-pulsed source (SPS) method
  • Article
  • Full-text available

February 2025

·

41 Reads

Shangzhi Song

·

Tao Chen

·

Accurate thermal property measurements of multilayer heterostructures, especially in wide-bandgap semiconductor devices, are essential for optimizing device performance. While traditional methods, such as Time-Domain Thermoreflectance (TDTR) and Frequency-Domain Thermoreflectance (FDTR), are effective for thin films and interfaces, they encounter challenges with complex multilayer heterostructures. This paper presents an optical Square-Pulsed Source (SPS) method for comprehensive thermal property measurements of heterostructures. By combining the advantages of TDTR and FDTR, the SPS technique enables time-resolved signal observation and offers an adjustable heating frequency range from 1 Hz to 10 MHz. This allows for the simultaneous determination of multiple parameters, including the thermal conductivity and the heat capacity of each layer and the substrate, and interfacial thermal conductance between layers. Applied to epitaxially grown GaN/Si and ɛ-Ga2O3/SiC heterostructures, the SPS method demonstrates its simplicity, robustness, and precision for comprehensive thermal property analysis, essential for effective thermal management in advanced electronic devices.

Download



Fig. 4. Four sets of measurements to determine the in-plane thermal conductivity tensor of an X-cut quartz sample with its c-axis in an arbitrary in-plane direction. Specifically, (a1-d1) shows the measured signals over one period alongside the best-fitted model predictions, (a2-d2) presents a zoomed-in portion of the signals in a log-log scale to demonstrate the fitting quality, and (a3-d3) shows the sensitivity coefficients of the signals in (a2-d2) to the parameters in the thermal model. Measurement configurations for each set are as follows: (a1-a3): í µí±Ÿ = 8.7 í µí¼‡m , í µí±“ = 5 kHz , í µí±¥ = í µí±¦ = 0 í µí¼‡m; (b1-b3): í µí±Ÿ = 8.7 í µí¼‡m, í µí±“ = 100 Hz, í µí±¥ = 40 í µí¼‡m; (c1-c3): í µí±Ÿ = 8.7 í µí¼‡m, í µí±“ = 100 Hz, í µí±¥ = 40 í µí¼‡m; (d1-d3): í µí±Ÿ = 8.7 í µí¼‡m, í µí±“ = 100 Hz, í µí±¥ = í µí±¦ = 28.3 í µí¼‡m.
Comprehensive Measurement of Three-Dimensional Thermal Conductivity Tensor Using a Beam-Offset Square-Pulsed Source (BO-SPS) Approach

June 2024

·

53 Reads

Accurately measuring the three-dimensional thermal conductivity tensor is essential for understanding and engineering the thermal behavior of anisotropic materials. Existing methods often struggle to isolate individual tensor elements, leading to large measurement uncertainties and time-consuming iterative fitting procedures. In this study, we introduce the Beam-Offset Square-Pulsed Source (BO-SPS) method for comprehensive measurements of three-dimensional anisotropic thermal conductivity tensors. This method uses square-pulsed heating and precise temperature rise measurements to achieve high signal-to-noise ratios, even with large beam offsets and low modulation frequencies, enabling the isolation of thermal conductivity tensor elements. We demonstrate and validate the BO-SPS method by measuring X-cut and AT-cut quartz samples. For X-cut quartz, with a known relationship between in-plane and cross-plane thermal conductivities, we can determine the full thermal conductivity tensor and heat capacity simultaneously. For AT-cut quartz, assuming a known heat capacity, we can determine the entire anisotropic thermal conductivity tensor, even with finite off-diagonal terms. Our results yield consistent principal thermal conductivity values for both quartz types, demonstrating the method's reliability and accuracy. This research highlights the BO-SPS method's potential to advance the understanding of thermal behavior in complex materials.


Fig. 1 (a)Schematic of the measurement principle of SPS and sample structure. (b) Schematic diagram of the SPS setup.
Fig. 2 Different heat conduction regimes achievable in SPS experiments, determined by the relative lengths of laser spot diameter 2í µí±Ÿ and the in-plane thermal diffusion length í µí±‘ , . Here, í µí±‘ , is defined as í µí±‘ , = í µí±˜ /í µí¼‹í µí±“ í µí° ¶, with í µí±“ being the modulation frequency. Comparatively, the capability of TDTR and FDTR in probing the combined parameter of í µí±˜ /í µí° ¶í µí±Ÿ
Fig.4 (a, b): SPS signals for single-crystal Si obtained using a fixed spot size of 20 µm and different modulation frequencies of (a1, b1) í µí±“ = 20 kHz and (a2, b2) í µí±“ = 1.2 MHz, compared to the thermal model predictions. (c): Sensitivity coefficients (í µí±† ) of the SPS signal shown in (b) concerning all parameters in the thermal model, where í µí±† is defined as í µí±† = í µí¼• ln í µí°´/µí°´/í µí¼• ln í µí¼‰. (d): Contours of sensitivity coefficients for the thermal conductivity in the z-direction (í µí±˜ , depicted by black solid curves) and the radial direction (í µí±˜ , shown as red dashed curves) plotted against spot diameter (2í µí±Ÿ ) and thermal diffusion length (í µí±‘ , ). Here, í µí±‘ , is defined as í µí±‘ , = í µí±˜ /í µí¼‹í µí±“ í µí° ¶. The experimental configurations for the two sets of measurements are indicated by black dots on the plots.
Simultaneous Measurement of Thermal Conductivity and Heat Capacity Across Diverse Materials Using the Square-Pulsed Source (SPS) Technique

May 2024

·

162 Reads

·

1 Citation

State-of-the-art techniques like dual-frequency Time-Domain Thermoreflectance (TDTR) and Frequency-Domain Thermoreflectance (FDTR) offer superb capability for simultaneous measurements of thermal conductivity and heat capacity with a spatial resolution on the order of 10 {\mu}m. However, their applicability is limited to highly conductive materials with an in-plane thermal conductivity exceeding 10 W/(m*K). In this paper, we introduce the Square-Pulsed Source (SPS) technique, offering a novel approach to concurrently measure thermal conductivity and heat capacity with a 10 {\mu}m spatial resolution, while significantly extending the measurable thermal conductivity range to an unprecedented low of 0.1 W/(m*K), offering enhanced versatility. To demonstrate and validate its efficacy, we conducted measurements on various standard materials--PMMA, silica, sapphire, silicon, and diamond--spanning a wide thermal conductivity range from 0.1 to 2000 W/(m*K). The obtained results exhibit remarkable agreement with literature values, with a typical measurement uncertainty of less than 10% across the entire thermal conductivity range. By providing a unique capability to characterize both highly and lowly conductive materials with micron-scale spatial resolution, the SPS method opens new avenues for understanding and engineering thermal properties across diverse applications.




Figure 1. Preparation procedure of the thermally reduced rGO/CNT composite films.
Figure 2. (a) Top view SEM image of rGO−1000 K film. (b) Cross−sectional view SEM image of rGO−2400 K film. (c,d) Top view (c) and cross−sectional view (d) SEM images of rGO/CNT(4:1)−1000 K composite film.
Figure 6. (a) Schematic diagram of the laser flash method for measuring in−plane thermal diffusivities of the films. (b) In−plane thermal conductivities of the rGO film and the rGO/CNT composite films with various CNT concentrations, all reduced at 1000 K. (c) Time required for the copper plate to rise from 45 • C to 65 • C with the rGO film and the rGO/CNT composite films, all reduced at 1000 K, as TIMs. The insert shows a schematic of the setup.
Structural parameters of the rGO films and rGO/CNT(4:1) composite films.
Improved Electrical and Thermal Conductivities of Graphene–Carbon Nanotube Composite Film as an Advanced Thermal Interface Material

January 2023

·

130 Reads

·

18 Citations

Thermal management has become a crucial issue for the rapid development of electronic devices, and thermal interface materials (TIMs) play an important role in improving heat dissipation. Recently, carbon−based TIMs, including graphene, reduced graphene oxide, and carbon nanotubes (CNTs) with high thermal conductivity, have attracted great attention. In this work, we provide graphene−carbon nanotube composite films with improved electrical and thermal conductivities. The composite films were prepared from mixed graphene oxide (GO) and CNT solutions and then were thermally reduced at a temperature greater than 2000 K to form a reduced graphene oxide (rGO)/CNT composite film. The added CNTs connect adjacent graphene layers, increase the interlayer interaction, and block the interlayer slipping of graphene layers, thereby improving the electrical conductivity, through−plane thermal conductivity, and mechanical properties of the rGO/CNT composite film at an appropriate CNT concentration. The rGO/CNT(4:1) composite film has the most desired properties with an electrical conductivity of ~2827 S/cm and an in−plane thermal conductivity of ~627 W/(m·K). The produced rGO/CNT composite film as a TIM will significantly improve the heat dissipation capability and has potential applications in thermal management of electronics.

Citations (5)


... Consequently, while these techniques perform well for isotropic materials or those with simple anisotropy, they struggle to accurately measure more complex thermal conductivity tensors, particularly those with small off-diagonal components. To date, all studies have demonstrated the ability to determine at most one non-zero off-diagonal component [32,35,[37][38][39]. Additionally, experiments built on vector framework inherently lack efficiency as it requires serially probing [30,35,40]. ...

Reference:

Three-dimensional (3D) tensor-based methodology for characterizing 3D anisotropic thermal conductivity tensor
Comprehensive measurement of three-dimensional thermal conductivity tensor using a beam-offset square-pulsed source (BO-SPS) approach
  • Citing Article
  • January 2025

International Journal of Thermal Sciences

... Here, we propose that a recently developed pump-probe method called the Square-Pulsed Source (SPS) method 16 can systematically, comprehensively, and flexibly measure the thermal properties of semiconductor heterostructures. Building on the square pulse heating concept from the PTI method and integrating the strengths of TDTR and FDTR, the SPS method allows for realtime signal monitoring and broad-range modulation frequency variation from 1 Hz to 10 MHz, significantly enhancing signal sensitivity to various parameters. ...

Simultaneous measurement of thermal conductivity and heat capacity across diverse materials using the square-pulsed source (SPS) technique
  • Citing Article
  • November 2024

International Communications in Heat and Mass Transfer

... The operational concept of the SPS method has been previously established [13]. Essentially, SPS uses a square-wave-modulated pump beam to periodically heat the sample surface, while a probe beam measures the resulting temperature rise amplitude over time. ...

Simultaneous Measurement of Thermal Conductivity and Heat Capacity Across Diverse Materials Using the Square-Pulsed Source (SPS) Technique

... TaN has emerged as the predominant choice due to its robust stability, low resistance temperature coefficient, and selfpassivation characteristics [3][4][5]. In recent years, extensive research has focused on understanding the impact of TaN thinfilm material properties on termination performance [6][7][8]. ...

Influence of Room-Temperature Oxidation on Stability and Performance of Reactively Sputtered TaN Thin Films for High-Precision Sheet Resistors

Surfaces and Interfaces

... Huf et al. investigated an application in typical automotive hybrid joining processes, predicted the expected joining forces using a Coupled-Euler-Lagrange framework, and analytically determined the resulting deformations of the sheet metal components to be joined [14]. In order to ensure sufficient thermal conductivity, the adhesive systems are usually filled with up to 90% metallic or ceramic particles such as zinc or aluminum oxide [15], boron nitride [16], graphene [17], copper nanopowder [18], or carbon nanotubes [19]. In particular, due to this modification of the adhesive systems, a deviation of the characteristic material behavior from known adhesives can be observed [20]. ...

Improved Electrical and Thermal Conductivities of Graphene–Carbon Nanotube Composite Film as an Advanced Thermal Interface Material