Journal ArticleOPEN ACCESS

Tuning Bayesian optimization for materials synthesis: simulating two- and three-dimensional cases

  • Xu H
  • Nakayama R
  • Kimura T
  • et al.
Science and Technology of Advanced Materials: Methods (2023) 3(1)
DOI: 10.1080/27660400.2023.2210251
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Abstract

1. High-throughput prediction and synthesis of novel materials are vital for achieving a sustainable society [1–5]. Given the possible combinations of elements, there is an almost infinite number o...

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APA

Xu, H., Nakayama, R., Kimura, T., Shimizu, R., Ando, Y., Kobayashi, S., … Hitosugi, T. (2023). Tuning Bayesian optimization for materials synthesis: simulating two- and three-dimensional cases. Science and Technology of Advanced Materials: Methods, 3(1). https://doi.org/10.1080/27660400.2023.2210251

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