In this work, we demonstrate how interdisciplinary knowledge can provide solutions to elusive challenges and advance science. As an example, we used the application of the THW in the measurement of the thermal conductivity of solids. To obtain a solution of the equations by FEM, about 10 h were required. By employing tools from the field of machine learning and computer science like a) automating the manual pipeline using a custom framework, b) using efficiently, Bayesian Optimisation to estimate the optimal thermal properties value, and c) applying further task specific optimisations, this time was reduced to 3 min, which is acceptable, and thus the technique can be easier used.
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