Position-Selective MoS2 Photoresponse Dynamics for In-Sensor Encoding of Motion History
- Authors
- Yun, Hyuncheol; Park, Hyeonsu; Kim, Yelim; Handriani, Lia Saptini; Jeong, Daeyeop; Jang, Suhee; Park, Won Il
- Issue Date
- Apr-2026
- Publisher
- AMER CHEMICAL SOC
- Keywords
- transition metal dichalcogenides; MoS2 photodetectors; photoconductive effect; photothermoelectric effect; time-resolved photoresponse; neuromorphic vision
- Citation
- ACS APPLIED ELECTRONIC MATERIALS, v.8, no.7, pp 3207 - 3217
- Pages
- 11
- Indexed
- SCIE
SCOPUS
- Journal Title
- ACS APPLIED ELECTRONIC MATERIALS
- Volume
- 8
- Number
- 7
- Start Page
- 3207
- End Page
- 3217
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/213825
- DOI
- 10.1021/acsaelm.6c00234
- ISSN
- 2637-6113
2637-6113
- Abstract
- We report a position-selective dual-mode photoresponse in multilayer MoS2 photodetectors and demonstrate its use for in-sensor encoding of motion history. Scanning photocurrent mapping reveals that the photothermoelectric effect dominates near contacts under weak bias, yielding fast, tail-free transients. In contrast, when the MoS2 channel is locally illuminated under finite bias, a photoconductive response prevails, exhibiting a pronounced slow tail arising from trap-mediated carrier dynamics. By exploiting this temporal contrast, the device directly generates analog trajectory signals without the need for external digital buffering. We establish a quantitative analytical framework based on a leaky-integrator model, proving that the spatial trail length serves as a deterministic measure of the device's time constant and motion speed. Furthermore, system-level validation using the Weizmann data set yielded a 92.58% classification accuracy, indicating that the proposed device-based physical preprocessing can simplify the task for a lightweight neural network while maintaining high robustness against hardware variations. These results establish a simple, photoresponse-dynamics-based strategy for hardware-intrinsic temporal encoding, suggesting a pathway toward efficient dynamic vision systems that capture temporal context directly in the analog domain.
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