journal article·2025-10-07

Asymmetric Contact van der Waals Ferroelectric Transistors for Self-Powered Multifunctional Artificial Visual System

Rajiv Kumar Pandey, Sungpyo Baek, Nayeong Lee, Sang-Min Lee, Sungjoo Lee

ACS Nano· Volume 19· Issue 39
Publisher page

Abstract

The development of self-powered artificial visual systems capable of emulating the multifunctionality of the human eye, such as light adaptation, optical memory, and in-sensor computing, is pivotal for next-generation intelligent bionic technologies. In this study, we present a van der Waals ferroelectric field-effect transistor (vdW-FeFET) based on an asymmetric contact α-In 2 Se 3 /h-BN/CIPS heterostructure, which operates entirely in a self-powered mode. By harnessing the intrinsic opto-ferroelectric coupling of α-In 2 Se 3 and the built-in electric fields induced by asymmetric source–drain contact areas, the device exhibits a range of neuromorphic visual behaviors, including visible light sensing and adaptation (405–660 nm), wavelength-dependent color differentiation, and robust optical memory capabilities. The combined effects of photopyroelectric and photothermoelectric mechanisms enable dynamic modulation of the photocurrent, facilitating visual adaptations analogous to biological systems. The device further demonstrates pronounced synaptic characteristics, such as a high paired-pulse facilitation index (∼180%) and memory consolidation from short- to long-term states under repetitive optical stimulation. In particular, pattern recognition is achieved without any external bias, showcasing the potential for autonomous visual signal processing. This work presents a multifunctional, energy-efficient platform for bioinspired vision systems, offering a promising pathway toward neuromorphic computing and next-generation optoelectronic intelligence.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Advanced Sensor and Energy Harvesting Materials · Photonic and Optical Devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

SKKU Advanced Institute of Nanotechnology (SAINT)

Sungkyunkwan University

Department of Nano Science and Technology

Department of Nano Engineering

Funding

Samsung · National Research Foundation of Korea

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