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Takuma Otsuka

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Review Aug 2026

Bayesian Optimization for Self-Driving Materials Laboratories: From Algorithms to Physics-Informed Workflows

A review of Gaussian-process-based BO and the formulation of materials goals as quantitative objectives, and particular emphasis is placed on physics-informed Bayesian optimization (PIBO), in which domain knowledge enters through representations, priors, kernels, acquisition functions, and constraints.

Yuki K. Wakabayashi, Takuma Otsuka · 0 citations

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