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    "TR Analysis is a custom software application developed for thermoreflectance (TR) based data analysis and visualization that integrates traditional radially symmetric thermal model fitting routines with robust uncertainty analysis. TR pump-probe laser-based measurement techniques use modulated laser heating and thermal models to probe thermal properties by relating a material\u2019s change in temperature to the resulting change in optical reflectance (coefficient of TR) of an applied transducer film.  TR techniques can measure the thermal properties of multilayer structures, embedded materials, substrates, thin films, and interfaces. TR can be categorized as Frequency Domain Thermoreflectance (FDTR), Time Domain Thermoreflectance (TDTR), or Steady State Thermoreflectance (SSTR). These techniques leverage sensitivity to different thermal properties and materials based on their characteristic thermal excitations and corresponding responses. This application incorporates thermal model fitting code, non-linear regression fitting models, and Monte Carlo simulation. The primary features of the TR Analysis application are: thermal model fitting for FDTR and TDTR (additional modalities in future releases), user-friendly GUI and workflow, Monte Carlo (MC) simulation, input uncertainty propagation, asymmetric uncertainty analysis, parallel computing, sensitivity explorer, temperature rise calculation, Markov Chain Monte Carlo (MCMC) parameter correlation analysis, savable preset layer properties, and file format interpreter. The TR Analysis application is a standalone deployed executable, coded using MATLAB App Designer. No MATLAB or other license is required to run the software. TR Analysis is intended to be an easy-to-use, reliable, and free resource for the thermal community, especially for researchers building new instruments and/or those who require more robust uncertainty analysis.\u00a0Certain commercial equipment, instruments, or materials are identified in this document. Such identification does not imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the products identified are necessarily the best available for the purpose."
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      "citation": "Kirsch, D. J., Martin, J., Warzoha, R., McLean, M., Windover, D., & Takeuchi, I. (2024). An instrumentation guide to measuring thermal conductivity using frequency domain thermoreflectance (FDTR). Review of Scientific Instruments, 95(10). https://doi.org/10.1063/5.0213738\n"
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