124 citations · 197 across the 8 of their papers we have counts for
4 papers · 1 filter
Stoichiometric growth of SrTiO3 films via Bayesian optimization with adaptive prior mean
Yuki K. Wakabayashi, Takuma Otsuka, Yoshiharu Krockenberger +3
Perovskite insulator SrTiO3 is expected to be applied to the next generation of electronic and photonic devices as high-k capacitors and photocatalysts. However, reproducible growt…
Bayesian optimization with experimental failure for high-throughput materials growth
Yuki K. Wakabayashi, Takuma Otsuka, Yoshiharu Krockenberger +3
A crucial problem in achieving innovative high-throughput materials growth with machine learning and automation techniques, such as Bayesian optimization (BO) and robotic experimen…
Quantum transport evidence of Weyl fermions in an epitaxial ferromagnetic oxide
Kosuke Takiguchi, Yuki K. Wakabayashi, Hiroshi Irie +8
Magnetic Weyl fermions, which occur in magnets, have novel transport phenomena related to pairs of Weyl nodes, and they are, of both, scientific and technological interest, with th…
Machine-learning-assisted thin-film growth: Bayesian optimization in molecular beam epitaxy of SrRuO3 thin films
Yuki K. Wakabayashi, Takuma Otsuka, Yoshiharu Krockenberger +3
Materials informatics exploiting machine learning techniques, e.g., Bayesian optimization (BO), has the potential to offer high-throughput optimization of thin-film growth conditio…