Scalable TCNQ-doped graphene oxide sensor for neuromorphic machine vision
We developed a TCNQ-doped graphene oxide sensor for neuromorphic machine vision, which exhibits a tunable responsivity from 1.4 to 25 mA/W. We established a 3×3 array of sensors as programmable kernels for image edge processing.
Authors
- Xinyu Huang (ORCID: https://orcid.org/0000-0001-9962-4232)
- Lei Zhang (ORCID: https://orcid.org/0000-0002-9677-120X)
- Kun Yin (ORCID: https://orcid.org/0009-0001-7350-1223)
- Jihong Wang (ORCID: https://orcid.org/0009-0003-2272-2485)
- Wenting Jiao (ORCID: https://orcid.org/0000-0001-9522-7803)
- Junchao Ren (ORCID: https://orcid.org/0009-0005-2428-4081)
- Tangjie Mu
- Huijun Yu (ORCID: https://orcid.org/0000-0001-8108-4434)
- Yang Gao (ORCID: https://orcid.org/0000-0002-6841-9276)
- Lin Wang
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/cleo_at.2025.jps100_4
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00