Decoupling Thermal Properties in Multilayer Systems for Advanced Thermoreflectance Techniques
Tao Chen, Puqing Jiang

TL;DR
This paper presents a systematic SVD-based framework to decouple interdependent parameters in thermoreflectance techniques, enabling more accurate extraction of thermal properties in multilayer systems like GaN/Si.
Contribution
It introduces a novel SVD-based approach to improve the reliability and accuracy of thermal property measurements in thermoreflectance methods.
Findings
Consistent results across TDTR, FDTR, and SPS techniques.
Ability to extract five to seven key thermal properties simultaneously.
Enhanced precision in thermal metrology for multilayer systems.
Abstract
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 thin-film materials. However, accurately interpreting their signals remains challenging due to intricate interdependencies among experimental variables. This study introduces a systematic framework based on singular value decomposition (SVD) to decouple these interdependent parameters and enhance the reliability of thermal property extraction. By applying SVD to the sensitivity matrix, we identify key parameter combinations and establish essential dimensionless numbers that govern thermoreflectance signals. The framework is applied to a GaN/Si heterostructure, where the performance of TDTR, FDTR, and SPS is evaluated and compared. The results demonstrate…
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