Bayesian optimization improves efficiency in III‐V multijunction solar cells, highlighting potential for space technologies.
Technology Computer‐Aided Design (TCAD) modeling is a vital tool for the design of complex optoelectronic devices such as III‐V multijunction solar cells. In this work, Bayesian optimization is proposed as a robust framework that is able to tackle difficulties that arise in the optimization of expensive to evaluate black‐box functions, such as TCAD solvers. This method is applied to a lattice‐matched GaInP/Ga(In)As/Ge triple junction solar cell, which incorporates a distributed Bragg reflector for space applications. The results show a path to increase the efficiency of current commercial space triple junction solar cells.
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Palacios et al. (2025) studied this question.
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