[18a-S2_204-1~6] 23.1 Joint Session N "Informatics"

12:00 PM - 12:15 PM JST(3:00 AM - 3:15 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[18a-S2_204-3] Development of a Methodology for Rapid Identification of Optimal Deposition Conditions in Supercritical Fluid Deposition (1)

〇(B)Seitaro Sanai¹, Shota Oda², Takeshi Hashishin³, Ichiro Akai⁴, Takeshi Momose⁵ (1.FE, Kumamoto Univ., 2.GSST, Kumamoto Univ., 3.FAST, Kumamoto Univ., 4.IINA, Kumamoto Univ., 5.SE, Kumamoto Univ.)

Keywords:

process informatic,physics-informed bayesian optimization,supercritical fluid deposition

This study proposes a strategy to apply informatics technologies—which have recently become a major trend in technological development—by decomposing the causal structure and applying them locally, while further incorporating physical information. For thin-film deposition processes, where only a limited amount of experimental data is typically available, this approach ensures extrapolative capability and interpretability, and enables the construction of a generalized process model that decouples geometric size dependence.