2 papers
cond-mat.mtrl-sci2026
Interpretable self-driving sputter epitaxy: from black-box optimization to human-usable growth rules
Yuki K. Wakabayashi, Yui Ogawa, Franz Benedict Romero +2
Self-driving laboratories have emerged as powerful tools for navigating high-dimensional process spaces, yet systems remain black-box optimizers that yield limited transferable pro…
cond-mat.mtrl-sci2026
Physics-informed acquisition weighting for stoichiometry-constrained Bayesian optimization of oxide thin-film growth
Yuki K. Wakabayashi, Takuma Otsuka, Yoshiharu Krockenberger +1
We present a physics-informed Bayesian optimization (PIBO) with a concise modification to its acquisition function to incorporate the physical prior knowledge. Specifically, this m…