Neuromorphic Device Based on Solution-Processed WSe<sub>2</sub> Nanoflake Synaptic Transistors

Significant progress has been made in developing artificial synapses using transition metal dichalcogenides (TMDs)-based neuromorphic devices, but solution-processable TMDs remain underexplored, especially in utilizing intrinsic defects for synaptic functions. Here, we prepared electrochemically-exfoliated WSe2 nanoflakes with Se vacancies that enable charge trapping and detrapping. Using a solution-processed approach, we fabricated a high-performance WSe2 synaptic transistor with a large memory window, a significant trap density of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$5\times 10^{{12}}$ </tex-math></inline-formula> cm<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${}^{-{2}}$ </tex-math></inline-formula>, and high operating stability. This synaptic transistor also successfully mimics various synaptic behaviors such as potentiation and depression, spike-voltage-dependent plasticity, and spike-number-dependent plasticity. By integrating the device with an infrared ranging sensor, the neuromorphic sensory system achieves 94.7% accuracy in object classification task, demonstrating its potential for advanced sensory processing.

Authors

Institutions

Publication Details

Journal
IEEE Electron Device Letters
Published
2025-03-29
DOI
https://doi.org/10.1109/led.2025.3554009
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neuromorphic Device Based on Solution-Processed WSe2 Nanoflake Synaptic Transistors

Yong‐Young Noh, Wentao Xu, Taoyu Zou, Chengpeng Jiang
1 citations
IEEE Electron Device Letters
Advanced Memory and Neural Computing
0.73
article

Neuromorphic Device Based on Solution-Processed WSe2 Nanoflake Synaptic Transistors

Yong‐Young Noh, Wentao Xu, Taoyu Zou, Chengpeng Jiang
article en
1 citations

Abstract

Significant progress has been made in developing artificial synapses using transition metal dichalcogenides (TMDs)-based neuromorphic devices, but solution-processable TMDs remain underexplored, especially in utilizing intrinsic defects for synaptic functions. Here, we prepared electrochemically-exfoliated WSe2 nanoflakes with Se vacancies that enable charge trapping and detrapping. Using a solution-processed approach, we fabricated a high-performance WSe2 synaptic transistor with a large memory window, a significant trap density of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$5\times 10^{{12}}$ </tex-math></inline-formula> cm<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${}^{-{2}}$ </tex-math></inline-formula>, and high operating stability. This synaptic transistor also successfully mimics various synaptic behaviors such as potentiation and depression, spike-voltage-dependent plasticity, and spike-number-dependent plasticity. By integrating the device with an infrared ranging sensor, the neuromorphic sensory system achieves 94.7% accuracy in object classification task, demonstrating its potential for advanced sensory processing.

IEEE Electron Device LettersVol. 46(5)
Zhejiang International Studies University (CN), Pohang University of Science and Technology (KR), Nankai University (CN), Beihang University (CN)
Affordable and clean energy
Openalex Percentile: Top 30%
Advanced Memory and Neural Computing
0.73
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.

Neuromorphic Device Based on Solution-Processed WSe<sub>2</sub> Nanoflake Synaptic Transistors — Yong‐Young Noh, Wentao Xu, et al. · IEEE Electron Device Letters (2025) | TGRS Research Map | TGRS