The thermal conductivity levels of the five solid specimens selected for the study show an increasing trend, and the relative errors of both algorithms are around 3% when the thermal conductivity of the specimens is below 100 Wm − 1 K − 1 ; when the thermal conductivity of the specimen exceeds 100 Wm − 1 K − 1 , the relative errors of both algorithms are close to 6%.
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Improved Bayesian Optimization Framework for Inverse Thermal Conductivity Based on Transient Plane Source Method.
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