Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing
ABSTRACT Neuromorphic optical sensors that merge sensing and in‐pixel preprocessing within a single device are emerging as a key building block for next‐generation artificial vision. Here, we present a WSe 2 /ZrO 2‐x van der Waals (vdW) heterostructure that realizes a light‐induced field‐tunneling synapse (LIFTS) for visual preprocessing. Exploiting the thin vdW heterostructure with the gate–drain overlap of a single‐gate transistor, two distinct operation modes can be reconfigured by simply adjusting the applied bias condition. In global gating mode, the device operates as a conventional p ‐type transistor with fast photo‐switching, whereas in local gating mode, it exhibits diode‐like rectification mediated by unique field‐tunneling carrier dynamics. Notably, this carrier dynamics enables intensity‐dependent photo‐synaptic operation—remaining inactive under dim light but activated under bright illumination, mimicking human photopic adaptation. At the pixel level, this intensity‐dependent photoresponse is spatially adaptive: dim regions retain a fast positive photoresponse, whereas bright regions activate the field‐tunneling pathway and trigger a negative post‐synaptic response, enabling selective suppression of saturated pixels at the point of detection. Building on this pixel‐level functionality, LIFTS arrays serve as scalable neuromorphic preprocessing layers that progressively recover visual features from glare‐saturated inputs, including realistic street scenes, via edge enhancement and bright‐region attenuation.
Authors
- Iva Plutnarová (ORCID: https://orcid.org/0000-0002-6766-0615)
- Zdeněk Sofer (ORCID: https://orcid.org/0000-0002-1391-4448)
- Sang Min Won (ORCID: https://orcid.org/0000-0002-5750-8628)
- Joohoon Kang (ORCID: https://orcid.org/0000-0002-6578-2547)
- Do Kyung Hwang (ORCID: https://orcid.org/0000-0001-8736-9262)
- Sejin Kim (ORCID: https://orcid.org/0000-0002-3328-5757)
- In Soo Kim (ORCID: https://orcid.org/0000-0003-1615-3119)
- Jihyun Kim (ORCID: https://orcid.org/0000-0002-3533-1622)
- Kijeong Nam
- Eungseon Yeon
- Soobeen Ji
Institutions
- Argonne National Laboratory (US)
- Yonsei University (KR)
- Korea University (KR)
- Korea Institute of Science and Technology (KR)
- Sungkyunkwan University (KR)
- Korea University of Science and Technology (KR)
- University of Chemistry and Technology, Prague (CZ)
Publication Details
- Journal
- Advanced Functional Materials
- Published
- 2026-08-13
- DOI
- https://doi.org/10.1002/adfm.77689
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation of Korea