Presentation Information
[24p-32A-1][The 55th Young Scientist Presentation Award Speech] In-sensor computing device made of CNT-PDMS nanocomposites
〇Kouki Kimizuka1, Azhari Saman2,3, Syosi Tokuno1, Shuhei Ikemoto1,3, Yuki Usami1,3, Hirofumi Tanaka1,3 (1.Kyushu Inst. Tech. LSSE, 2.Waseda Uni, 3.Kyutech Nemorph center)
Keywords:
CNT/PDMS sensor,In-sensor computing,Object recognition
Carbon nanotube-polydimethylsiloxane (CNT-PDMS) nanocomposite is widely investigated and is expected to detect pressure with the same sensitivity as human skin. It has been shown that the hierarchical structure of Carbon nanotube-polydimethylsiloxane nanocomposite directly influences its sensitivity. The sacrificial template method, as one of the prominent methods to fabricate Carbon nanotube-polydimethylsiloxane nanocomposite with a hierarchical structure, has proven to be a practical approach. In this work, we report the successful fabrication of the Carbon nanotube-polydimethylsiloxane nanocomposite sensor, with different sensitivities, by varying the amount of Carbon nanotubes from 0.2 to 0.5 grams. The sensor with the lowest Carbon nanotube content (0.2 g) showed the highest sensitivity (S = 0.88). The recovery time for all samples was less than 200 ms, while the response time decreased with the decrease of Carbon nanotube content, indicating that softer sensors responded more quickly to applied force. Moreover, the Carbon nanotube-polydimethylsiloxane sensor fabricated via the sacrificial template method is applied for in-sensor computing applications. The nonlinear output data obtained from the sensor were linearly regressed and weighted to classify 9 different practical objects that are used in object recognition tasks. We report the successful classification of 9 objects, with over 80 % accuracy for each object.