Ultralow Power Optoelectronic Memtransistors Based on Vertical WS<sub>2</sub>/In<sub>2</sub>Se<sub>3</sub> van der Waals Heterostructures

Memtransistors composed of 2D van der Waals (vdW) heterostructures are crucial for constructing artificial synaptic devices and realizing neuromorphic computing. The functional integration containing ultralow power, nonvolatile memory, and biomimetic synaptic behavior endows such devices with broad prospects. Here, we develop an optoelectronic memtransistor based on the WS<sub>2</sub>/In<sub>2</sub>Se<sub>3</sub> vdW heterostructure and realize significant optical and electrical synaptic properties, which can simulate both short-range plasticity (STP) and long-range plasticity (LTP) of biological synapses. Under optical stimulation, the device demonstrates an ultralow power consumption (only 7.7 aJ per spike) significantly lower than biological synapses, indicating the application potential in large-scale neuromorphic hardware. Combining optical and electrical stimuli, we can perform multiple logic operations by controlling the optical and electrical inputs of the WS<sub>2</sub>/In<sub>2</sub>Se<sub>3</sub>-based memtransistor. Besides, simulated recognition utilizing the Modified National Institute of Standards and Technology data set can achieve a recognition accuracy of 85.41%. Notably, this accuracy can remain above 80% even with the introduction of Gaussian noise. These results demonstrate the promising potential of WS<sub>2</sub>/In<sub>2</sub>Se<sub>3</sub>-based memtransistors in future neuromorphic computing.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-03-14
DOI
https://doi.org/10.1021/acsami.4c21946
Citations
6
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
3.11

Funders

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

Ultralow Power Optoelectronic Memtransistors Based on Vertical WS2/In2Se3 van der Waals Heterostructures

Shangzhou Zhao, Xikui Ma, Ru Li, Yumeng Zhou et al.
6 citations
ACS Applied Materials & Interfaces
2D Materials and Applications
3.11
article

Ultralow Power Optoelectronic Memtransistors Based on Vertical WS2/In2Se3 van der Waals Heterostructures

Shangzhou Zhao, Xikui Ma, Ru Li, Yumeng Zhou, Mingjia Zhang
article en
6 citations

Abstract

Memtransistors composed of 2D van der Waals (vdW) heterostructures are crucial for constructing artificial synaptic devices and realizing neuromorphic computing. The functional integration containing ultralow power, nonvolatile memory, and biomimetic synaptic behavior endows such devices with broad prospects. Here, we develop an optoelectronic memtransistor based on the WS<sub>2</sub>/In<sub>2</sub>Se<sub>3</sub> vdW heterostructure and realize significant optical and electrical synaptic properties, which can simulate both short-range plasticity (STP) and long-range plasticity (LTP) of biological synapses. Under optical stimulation, the device demonstrates an ultralow power consumption (only 7.7 aJ per spike) significantly lower than biological synapses, indicating the application potential in large-scale neuromorphic hardware. Combining optical and electrical stimuli, we can perform multiple logic operations by controlling the optical and electrical inputs of the WS<sub>2</sub>/In<sub>2</sub>Se<sub>3</sub>-based memtransistor. Besides, simulated recognition utilizing the Modified National Institute of Standards and Technology data set can achieve a recognition accuracy of 85.41%. Notably, this accuracy can remain above 80% even with the introduction of Gaussian noise. These results demonstrate the promising potential of WS<sub>2</sub>/In<sub>2</sub>Se<sub>3</sub>-based memtransistors in future neuromorphic computing.

ACS Applied Materials & InterfacesVol. 17(12)
Chinese Academy of Sciences (CN), Integrated Optoelectronics (Norway) (NO), Qingdao Institute of Bioenergy and Bioprocess Technology (CN), Ocean University of China (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 9%
2D Materials and Applications
3.11
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.