Amorphous Ga<sub>2</sub>O<sub>3</sub> Based Erasable Two‐Terminal Artificial Photonic Synapses

Abstract Photonic synapses have garnered significant attention in visual sensing due to their ability to sense and store optical information in high parallel. Compared to three‐terminal devices, two‐terminal photonic synapses offer a simpler structure and are easier to integrate with silicon readout integrated circuits. However, achieving an efficient erasure function in two‐terminal photonic synapses has posed a formidable challenge, thereby limiting their broader application. Here, a two‐terminal bend‐erasing photonic synaptic device is designed and fabricated based on amorphous Ga 2 O 3 (a‐Ga 2 O 3 ) films by regulating oxygen vacancies (ranging from 25.6–44.4%). As a result, a‐Ga 2 O 3 photonic synapses optimized by vacancy control engineering demonstrate ultra‐high storage bit‐widths exceeding 5 bits and fundamental synaptic functions. In addition, a 5 × 5 photonic synapse array is constructed. After ten consecutive UV pulse stimulations, the pattern retains a memory level of 30.7% after 120 s of attenuation, reflecting the excellent storage performance. These synaptic functions are also observed in the flexible a‐Ga 2 O 3 device, and data erasure is realized by straightforward mechanical bending of the device. This study provides a low‐cost method to fabricate erasable two‐terminal photonic synapses, which will promote the development of UV artificial retinas and bionic eyes, paving the way for future innovations in optoelectronic applications and neuromorphic systems.

Authors

Institutions

Publication Details

Journal
Advanced Optical Materials
Published
2025-02-13
DOI
https://doi.org/10.1002/adom.202403227
Citations
7
Primary Topic
Photonic and Optical Devices
Type
article
Field-Weighted Citation Impact
5.11

Funders

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

Amorphous Ga2O3 Based Erasable Two‐Terminal Artificial Photonic Synapses

Yan Jiang, Weiqiang Gong, Jinlong Bai, Tianyi Wang et al.
7 citations
Advanced Optical Materials
Photonic and Optical Devices
5.11
article

Amorphous Ga2O3 Based Erasable Two‐Terminal Artificial Photonic Synapses

Yan Jiang, Weiqiang Gong, Jinlong Bai, Tianyi Wang, Lin Li, Feng Gao, Xitian Zhang
article en
7 citations

Abstract

Abstract Photonic synapses have garnered significant attention in visual sensing due to their ability to sense and store optical information in high parallel. Compared to three‐terminal devices, two‐terminal photonic synapses offer a simpler structure and are easier to integrate with silicon readout integrated circuits. However, achieving an efficient erasure function in two‐terminal photonic synapses has posed a formidable challenge, thereby limiting their broader application. Here, a two‐terminal bend‐erasing photonic synaptic device is designed and fabricated based on amorphous Ga 2 O 3 (a‐Ga 2 O 3 ) films by regulating oxygen vacancies (ranging from 25.6–44.4%). As a result, a‐Ga 2 O 3 photonic synapses optimized by vacancy control engineering demonstrate ultra‐high storage bit‐widths exceeding 5 bits and fundamental synaptic functions. In addition, a 5 × 5 photonic synapse array is constructed. After ten consecutive UV pulse stimulations, the pattern retains a memory level of 30.7% after 120 s of attenuation, reflecting the excellent storage performance. These synaptic functions are also observed in the flexible a‐Ga 2 O 3 device, and data erasure is realized by straightforward mechanical bending of the device. This study provides a low‐cost method to fabricate erasable two‐terminal photonic synapses, which will promote the development of UV artificial retinas and bionic eyes, paving the way for future innovations in optoelectronic applications and neuromorphic systems.

Advanced Optical MaterialsVol. 13(12)
Harbin Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Heilongjiang Province
Openalex Percentile: Top 5%
Photonic and Optical Devices
5.11
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.