HAL (France)
open access
Enhancing thermoelectric efficiency of GeTe through process improvement via active learning assisted by Bayesian optimisation
Pristine GeTe is an archetypal mid-temperature thermoelectric, but its full potential is obscured by an eleven-dimensional process space. We combine active learning with Bayesian optimisation (ALBO) to traverse this landscape, encompassing melt-annealing and spark-plasma-sintering conditions. Starti
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