A microstructure-aware Bayesian optimization framework with active subspace dimension reduction finds optimal material configurations faster than latent-space-agnostic BO in synthetic and simulated thermoelectric cases.
Bocquet-Appel, When the world’s population took o ff: the springboard of the neolithic demographic transition, Science 333 (6042) (2011) 560–561
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Microstructure-Aware Bayesian Materials Design
A microstructure-aware Bayesian optimization framework with active subspace dimension reduction finds optimal material configurations faster than latent-space-agnostic BO in synthetic and simulated thermoelectric cases.