Multispectral Ferroelectric Optoelectronic Synapses with Polarization‐Controlled Memory Capability for Brain‐Inspired Visual Processing

ABSTRACT Artificial visual systems inspired by the human visual system are gaining significant attention for their capacity to efficiently process vast visual data in neuromorphic architectures. Ferroelectric‐based optoelectronic transistors with their ability to control photoconductance decay via the polarization, are particularly suited for emulating synaptic behaviors such as short‐term and long‐term plasticity. However, most reported devices are limited to narrow spectral responses with limited focus on the visible spectrum. Here, we present a visible‐light‐responsive optoelectronic synaptic transistor based on indium gallium zinc oxide (IGZO) field‐effect transistors using a ferroelectric Zr‐doped HfO 2 (HZO) gate dielectric. The device exhibits tunable conductance under red, green, and blue light illumination, replicating both sensing and synaptic learning functions. Furthermore, by manipulating the HZO polarization state via gate voltage, we achieve dynamic control over the decay rate and retention of photocurrent, enabling transitions between short‐term and long‐term plasticity. Finally, logic operations such as “AND” and “OR” are also demonstrated using dual‐wavelength optical inputs. These findings suggest the device's strong potential as a multifunctional platform for integrated artificial visual systems.

Authors

Institutions

Publication Details

Journal
Laser & Photonics Review
Published
2025-12-26
DOI
https://doi.org/10.1002/lpor.202502533
Primary Topic
Ferroelectric and Negative Capacitance Devices
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multispectral Ferroelectric Optoelectronic Synapses with Polarization‐Controlled Memory Capability for Brain‐Inspired Visual Processing

Donghyun Kang, H.J. Kim, Hoon Kim, Hyoungsub Kim et al.
Laser & Photonics Review
Ferroelectric and Negative Capacitance Devices
article

Multispectral Ferroelectric Optoelectronic Synapses with Polarization‐Controlled Memory Capability for Brain‐Inspired Visual Processing

Donghyun Kang, H.J. Kim, Hoon Kim, Hyoungsub Kim, D. Tae-Ho Eom, Yong‐Hoon Kim
article en

Abstract

ABSTRACT Artificial visual systems inspired by the human visual system are gaining significant attention for their capacity to efficiently process vast visual data in neuromorphic architectures. Ferroelectric‐based optoelectronic transistors with their ability to control photoconductance decay via the polarization, are particularly suited for emulating synaptic behaviors such as short‐term and long‐term plasticity. However, most reported devices are limited to narrow spectral responses with limited focus on the visible spectrum. Here, we present a visible‐light‐responsive optoelectronic synaptic transistor based on indium gallium zinc oxide (IGZO) field‐effect transistors using a ferroelectric Zr‐doped HfO 2 (HZO) gate dielectric. The device exhibits tunable conductance under red, green, and blue light illumination, replicating both sensing and synaptic learning functions. Furthermore, by manipulating the HZO polarization state via gate voltage, we achieve dynamic control over the decay rate and retention of photocurrent, enabling transitions between short‐term and long‐term plasticity. Finally, logic operations such as “AND” and “OR” are also demonstrated using dual‐wavelength optical inputs. These findings suggest the device's strong potential as a multifunctional platform for integrated artificial visual systems.

Laser & Photonics Review
Sungkyunkwan University (KR)
National Research Foundation, National Research Foundation of Korea, Gyeonggi-do Regional Research Center, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 42%
Ferroelectric and Negative Capacitance Devices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.