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Related papers: Thermal Model for Time-Domain Thermoreflectance Ex…

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Measuring thermal properties of materials is not only of fundamental importance in understanding the transport processes of energy carriers (electrons and phonons) but also of practical interest in developing novel materials with desired…

Materials Science · Physics 2018-11-14 Puqing Jiang , Xin Qian , Ronggui Yang

Time-domain thermoreflectance (TDTR) and frequency-domain thermoreflectance (FDTR) have been widely used for non-contact measurement of anisotropic thermal conductivity of materials with high spatial resolution. However, the requirement of…

Applied Physics · Physics 2023-01-25 Jinchi Sun , Guangxin Lv , David G. Cahill

Materials lacking in-plane symmetry are ubiquitous in a wide range of applications such as electronics, thermoelectrics, and high-temperature superconductors, in all of which the thermal properties of the materials play a critical part.…

Applied Physics · Physics 2018-09-11 Puqing Jiang , Xin Qian , Ronggui Yang

Time-domain thermoreflectance (TDTR) is a powerful technique for characterizing the thermal properties of layered materials. However, its effectiveness at modulation frequencies below 0.1 MHz is hindered by pulse accumulation effects,…

Time-domain thermoreflectance (TDTR) is a widely used technique for characterizing the thermal properties of bulk and thin-film materials. Traditional TDTR analyses typically focus on positive delay time data for fitting, often requiring…

Materials Science · Physics 2025-10-09 Mingzhen Zhang , Tao Chen , Ao Zeng , Jialin Tang , Ruiqiang Guo , Puqing Jiang

Thermoreflectance techniques, including time-domain thermoreflectance (TDTR), frequency-domain thermoreflectance (FDTR), and the square-pulsed source (SPS) method, are powerful tools for characterizing the thermal properties of bulk and…

Applied Physics · Physics 2025-04-04 Tao Chen , Puqing Jiang

Accurate measurements of the cross-plane thermal conductivity {\Lambda}_cross of a high-thermal-conductivity thin film on a low-thermal-conductivity ({\Lambda}_s) substrate (e.g., {\Lambda}_cross/{\Lambda}_s>20) are challenging, due to the…

Materials Science · Physics 2018-05-18 Puqing Jiang , Bin Huang , Yee Kan Koh

In this work we present results of the analysis of thermal properties of high-power laser bars obtained by spatially resolved thermoreflectance (TR) spectroscopy. Thermoreflectance is a modulation technique relying on periodic facet…

Materials Science · Physics 2015-05-13 D. Pierscinska , K. Pierscinski , M. Bugajski , J. W. Tomm

Anisotropic thermal properties are of both fundamental and practical interests, but remain challenging to characterize using conventional methods. In this work, a new metrology based on asymmetric beam time-domain thermoreflectance…

Instrumentation and Detectors · Physics 2018-09-28 Man Li , Joon Sang Kang , Yongjie Hu

Recent developments of the pump-probe thermoreflectance methods (such as the beam-offset and elliptical-beam approaches of the time-domain and frequency-domain thermoreflectance techniques) enabled measurements of the thermal conductivities…

Applied Physics · Physics 2020-09-02 Puqing Jiang , Heng Ban

It is challenging to characterize thermal conductivity of materials with strong anisotropy. In this work, we extend the time-domain thermoreflectance (TDTR) method with a variable spot size approach to simultaneously measure the in-plane…

Materials Science · Physics 2018-07-04 Puqing Jiang , Xin Qian , Ronggui Yang

In the previous studies, the ultraviolet light thermoreflectance (UV-TDTR) signal from bulk semiconducting samples cannot be well explained by a thermal models based on the assumption that the heat is both absorbed and probed near the…

Applied Physics · Physics 2023-11-21 Dian Li , Joseph Feser

Recently, a pump beam size dependence of thermal conductivity was observed in Si at cryogenic temperatures using time-domain thermal reflectance (TDTR). These observations were attributed to quasiballistic phonon transport, but the…

Materials Science · Physics 2015-06-18 D. Ding , X. Chen , A. J. Minnich

In the laser processing of glass, a ~50-1000 $\mu$m-thick layer of glass is heated to a high temperature by the laser beam. Due to the shallow depth of this hot layer, the infrared emission and absorption spectra may deviate from the…

Materials Science · Physics 2025-01-15 Grigory Kolesov

Accurate evaluation of buried thermal interfaces is vital for understanding and optimizing heat dissipation in wide- and ultra-wide-bandgap (WBG/UWBG) semiconductor devices. Conventional time-domain thermoreflectance (TDTR) typically probes…

Applied Physics · Physics 2026-04-15 Mingzhen Zhang , Puqing Jiang , Ronggui Yang

This work combines the principles of the heat spreader method and imaging capability of the thermoreflectance measurements to measure the in-plane thermal conductivity of thin-films without the requirement of film suspension or multiple…

Applied Physics · Physics 2020-11-24 T. Zhu , D. H. Olson , P. E. Hopkins , M. Zebarjadi

In this work, we develop a numerical fitting routine to extract multiple thermal parameters using frequency-domain thermoreflectance (FDTR) for materials having non-standard, non-semi-infinite geometries. The numerical fitting routine is…

We have developed a transient thermoreflectance technique using picosecond pulsed and cw laser to study thermal conductivity and interface conductance in both thin-films and bulk materials. A real time-resolved system observes a thermal…

Materials Science · Physics 2021-08-27 Jihoon Jeong , Xianghai Meng , Ann Kathryn Rockwell , Seth R Bank , Wen-Pin Hsieh , Jung-fu Lin , Yaguo Wang

Time-Domain Thermoreflectance (TDTR) characterization of FeRh throughout its first-order antiferromagnetic (AF) to ferromagnetic (FM) transition shows that the transient reflectance, $\Delta$R(t)/R, strongly depends on the magnetic order of…

Spatial mapping of thermal properties is critical for unveiling the structure-property relation of materials, heterogeneous interfaces, and devices. These property images can also serve as datasets for training artificial intelligence…

Applied Physics · Physics 2025-07-18 Haobo Yang , Zhenguo Zhu , Zhongnan Xie , Jinhong Du , Shuo Bai , Hong Guo , Te-Huan Liu , Ronggui Yang , Xin Qian
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