Presentation Information

[14p-K404-5]Optimizing Molecular orientation in polymer thin films for
Physical reservoir computing

〇(P)Moulika Desu2,1, Usami Yuki2,1, Hirofumi Tanaka2,1, Nagano shusaku3, Ishizaki Yuya3, Shyam S Pandey4 (1.Neuromorph Center, 2.Kyutech, 3.Rikkyo university, 4.LSSE kyutech)

Keywords:

physical reservoir computing,Organic conjugated polymers,Floating film transfer method

Organic conjugated polymers (CPs), such as regioregular poly(3-hexylthiophene) (RR-P3HT), are promising for advanced electronics due to their tunable semiconducting properties and efficient charge transport. Molecular orientation significantly impacts performance, influencing charge mobility and efficiency. In this study, RR-P3HT thin films were utilized in reservoir computing (RC) to process signals by mapping inputs into higher-dimensional spaces. Optimizing molecular orientation improved charge transport and reservoir dynamics, enhancing RC performance for tasks like pattern recognition and sequence prediction. Building on previous findings on π-π stacking effects, we investigated how film randomness affects computational accuracy, revealing critical insights for neuromorphic applications.

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