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Electrooptic Dual-Mode Synergetic Control of Two-Dimensional Nonvolatile Floating-Gate Transistors for Artificial
Wennan Hu1, Zheng Zhang2, Haoran Sun2
1School of Physics and Electronic Information, Jiangsu Second Normal University, Nanjing 211200, China.
ACS Applied Materials & Interfaces
|December 9, 2025
Summary
This study introduces a novel dual-mode artificial synapse using MoS2 transistors for neuromorphic computing. The device offers both electrical and light-based control, enhancing artificial visual systems and achieving high accuracy in handwritten digit recognition.
Area of Science:
- Materials Science
- Neuroscience
- Computer Engineering
Background:
- Two-dimensional (2D) materials are promising for artificial neural networks (ANNs) and neuromorphic computing.
- Current devices primarily use electrical modulation, limiting applications in visual systems.
Purpose of the Study:
- To develop an electrooptic dual-mode artificial synapse for advanced neuromorphic computing.
- To enable versatile synaptic functionalities using both electrical and optical inputs.
Main Methods:
- Fabrication of a van der Waals heterostructured MoS2 floating-gate transistor.
- Demonstration of electrical and optical modulation for synaptic behaviors.
- Integration into an ANN visual sensor for handwritten digit classification.
Main Results:
- The device exhibits electrically controlled nonvolatile programmability.
- Light-tunable multilevel storage states enable persistent multilevel conductance.
- Achieved 91.97% recognition accuracy in a handwritten digit classification task.
Conclusions:
- The MoS2-based dual-mode synapse offers a new pathway for hardware neuromorphic computing.
- Optoelectronic modulation enhances synaptic plasticity and enables advanced visual sensing.
- This technology holds potential for next-generation artificial visual systems.
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