[15p-P06-1~15] 23 Joint Session N "Informatics" (Poster)

[15p-P06-2] Machine learning and quantum annealing optimize the composition of ink for fabricating printable smart windows

〇Ryo Taguchi¹, Kazuhiko Tonoka¹, Hiroshi Watanabe¹, Takashi Kubota¹, Kazuki Tajima¹ (1.AIST)

Keywords:

electrochromic,machine learning,quantum annealing

We are developing a printable light-dimming film device toward vehicle applications. In this presentation, we experimentally obtained the effect of the composition of light-dimming ink on the performances of the devices, and further constructed a machine learning model to predict these performances using the ink composition. Furthermore, we optimized the ink composition using quantum annealing.