[11p-C214-1~6] 12.4 Organic light-emitting devices, organic transistors, and flexible devices

3:00 PM - 3:15 PM JST(6:00 AM - 6:15 AM UTC)

[11p-C214-5] Mechanical-State Estimation Using Multipoint-Integrated Organic Single-Crystal Strain Sensors and Machine Learning

〇Ryohei Kameyama¹, Yamashita Yu^1,2, Murata Tomohito¹, Makita Tatsuyuki³, Tsurumi Junto³, Takeya Jun^1,2,3 (1.Univ. of Tokyo, 2.NIMS, 3.PI-CRYSTAL INC.)

Keywords:

single-crystalline organic semiconductor,strain sensor,machine learning

Organic single-crystal strain sensors are thin and lightweight film-type devices based on molecularly thin organic semiconductor single crystals, enabling detection of ppm-order small strains. In this study, multiple sensors were placed on a mechanical component, and the obtained time-series strain responses were analyzed using machine learning. We demonstrate that representative mechanical-state variables can be estimated from complex strain patterns, highlighting the potential of flexible organic single-crystal sensors for embedded mechanical-state monitoring.