[7p-S202-1~12] 23.1 Joint Session N "Informatics"

1:45 PM - 2:00 PM JST(4:45 AM - 5:00 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[7p-S202-4] Experimental demonstration of a data-driven automated floating zone crystal growth furnace using reinforcement learning

〇Sogo Yanagisawa¹, Ryohei Matsumoto², Syogo Sumitani², Takuya Inagaki³, Eisuke Bannai⁴, Kentaro Kutsukake^1,5, Toru Ujihara^1,5, Shunta Harada^1,5 (1.Nagoya Univ., 2.Anamorphosis Networks, 3.Sanko, 4.NIMS, 5.IMaSS Nagoya Univ.)

Keywords:

automation,crystal growth,floating zone method

Recent years informatics has applied to materials processing. We already demonstrated automated operation of floating zone (FZ) crystal growth using reinforcement learning within a simulated environment. In this study, we constructed a real, operational FZ furnace prototype to experimentally validate this method, and demonstrated the consistent automated operation. This result implies this method is applicable to other human-dependent material processing techniques.