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.

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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

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article

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang et al.
Advanced Functional Materials
Advanced Memory and Neural Computing
article

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang, Do Kyung Hwang, Sejin Kim, In Soo Kim, Jihyun Kim, Kijeong Nam, Eungseon Yeon, Soobeen Ji
article en

Abstract

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.

Advanced Functional Materials
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)
National Research Foundation of Korea
Sustainable cities and communities
Openalex Percentile: Top 18%
Advanced Memory and Neural Computing
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