Optosynapse Habituation in WO <sub> <i>x</i> </sub> -C <sub>60</sub> Heterojunction for Efficient Human Faces Recognition
Neuromorphic optoelectronic devices show great potential in processing complex tasks, but state-of-the-art optoelectronic devices possess an accumulative photocurrent response that causes high consumption and requires additional circuit to stress spike overshoot. Here we proposed a WOx-C60 heterojunction optosynaptic device that can execute efficient human faces recognition through a falling photocurrent response. Such WOx-C60 heterojunction integrates the positive photoresponse of WOx film and negative photoresponse of C60 film to build reliable synapse habituation behaviors, enabling low energy consumption ∼25.0 pJ and 256 distinguished photoresponse states. Reservoir computing (RC) is based on the synapse habituation effect in the WOx-C60 heterojunction, yielding over 95% accuracy for human faces recognition. This work discloses a significant optosynapse mechanism as well as an optoelectronic hardware for in-sensor computing.
Authors
- Li J (ORCID: https://orcid.org/0000-0002-6679-5227)
- Yue XIN
- Ke Xiang
- Guoyao Ouyang
- Siqi Luo
- Xiaofang Hu (ORCID: https://orcid.org/0000-0003-3764-2640)
- Jiahao Guo
- Ping Li
- Bai Sun (ORCID: https://orcid.org/0000-0002-5840-509X)
- Guangdong Zhou (ORCID: https://orcid.org/0000-0002-5824-9488)
- Bo Wu
Institutions
- Southwest University (CN)
- University of Waterloo (CA)
- National Institute for Nanotechnology (CA)
- Zunyi Normal College (CN)
- Ministry of Education (RO)
- Frontier Science Foundation (CH)
- Institute of Science and Technology
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- ACS Photonics
- Published
- 2026-05-21
- DOI
- https://doi.org/10.1021/acsphotonics.5c03119
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities
- Chongqing Graduate Student Research Innovation Project