Trapping-tunable dual-mode optoelectronic device for optoelectronic synapse and photodetector

We propose a thickness-modulated strategy for implementing two operations (optoelectronic synapse and photodetector) simultaneously in the same device structure. For the MoS 2 thickness of <56 nm, the device works as an optoelectronic synapse with some neuromorphic functionalities such as spike-interval-dependent plasticity, spike-rate-dependent plasticity and short-to-long-term plasticity. By combining synaptic plasticity with an artificial neural network, it achieves precise image recognition and classification with an accuracy >95%. As the thickness increases, excitons and trapping sites are separated by an increasing gap that facilitates a mode transition from synapse to detector. For 368-nm thickness, devices exhibit a photodetector mode with the response speed at millisecond level and responsivity of 163 mA/W.

Authors

Publication Details

Journal
Journal of Science Advanced Materials and Devices
Published
2026-01-06
DOI
https://doi.org/10.1016/j.jsamd.2026.101098
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trapping-tunable dual-mode optoelectronic device for optoelectronic synapse and photodetector

Chengdong Yang, Linlin Su, Lihua Xu, Yue Wu et al.
Journal of Science Advanced Materials and Devices
Advanced Memory and Neural Computing
article

Trapping-tunable dual-mode optoelectronic device for optoelectronic synapse and photodetector

Chengdong Yang, Linlin Su, Lihua Xu, Yue Wu, Hongxu Li
article en

Abstract

We propose a thickness-modulated strategy for implementing two operations (optoelectronic synapse and photodetector) simultaneously in the same device structure. For the MoS 2 thickness of <56 nm, the device works as an optoelectronic synapse with some neuromorphic functionalities such as spike-interval-dependent plasticity, spike-rate-dependent plasticity and short-to-long-term plasticity. By combining synaptic plasticity with an artificial neural network, it achieves precise image recognition and classification with an accuracy >95%. As the thickness increases, excitons and trapping sites are separated by an increasing gap that facilitates a mode transition from synapse to detector. For 368-nm thickness, devices exhibit a photodetector mode with the response speed at millisecond level and responsivity of 163 mA/W.

Journal of Science Advanced Materials and DevicesVol. 11(1)
Affordable and clean energy
Openalex Percentile: Top 95%
Advanced Memory and Neural Computing
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.

Trapping-tunable dual-mode optoelectronic device for optoelectronic synapse and photodetector — Chengdong Yang, Linlin Su, et al. · Journal of Science Advanced Materials and Devices (2026) | TGRS Research Map | TGRS