DPP‐DTT Nanowire Phototransistors for Optoelectronic Synapses in EMG and ECG Signal Classification (Small 48/2025)
Neuromorphic Phototransistor In article number 2506440, Seyong Oh, Young Tea Chun, Hocheon Yoo, and co-workers present an optoelectronic synaptic device using DPP-DTT nanowires fabricated via soft lithography. The device emulates synaptic behaviour through efficient photocarrier trapping at the nanowire interface and successfully classifies distinct ECG and EMG signal classes, demonstrating its potential for biosignal-based neuromorphic computing applications.
Authors
- Young Tea Chun (ORCID: https://orcid.org/0000-0002-4691-476X)
- Hyeonjung Kim (ORCID: https://orcid.org/0000-0002-9185-8269)
- Gwi‐Ryung Son Hong
- Seyong Oh (ORCID: https://orcid.org/0000-0002-3989-1117)
- Wangmyung Choi
- Won‐Woo Lee (ORCID: https://orcid.org/0000-0002-5347-9591)
- Hocheon Yoo (ORCID: https://orcid.org/0000-0003-0772-3327)
- Jinsu Yoon (ORCID: https://orcid.org/0000-0002-3492-2949)
Institutions
- Korea Maritime and Ocean University (KR)
- Hanyang University (KR)
- Anyang University (KR)
Publication Details
- Journal
- Small
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/smll.71541
- Citations
- 1
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.73