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Updated: Nov 9, 2025
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A Standard and Reliable Method to Fabricate Two-Dimensional Nanoelectronics
Published on: August 28, 2018
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Dielectric Engineered Two-Dimensional Neuromorphic Transistors
Du Xiang1,2, Tao Liu3, Xumeng Zhang1
1Frontier Institute of Chip and System, Fudan University, Shanghai 200438, China.
Nano Letters
|April 9, 2021
Summary
Researchers developed a 2D transition metal dichalcogenide synaptic array on a silicon nitride substrate. This scalable neuromorphic hardware achieves 91% accuracy on the MNIST dataset, advancing 2D materials for computing.
Area of Science:
- Materials Science
- Neuroscience
- Electrical Engineering
Background:
- Two-dimensional (2D) materials offer planar-wafer compatibility for neuromorphic computing.
- Current 2D artificial synapses are limited to single-device implementations, hindering scalable array development.
- Complementary metal-oxide-semiconductor (CMOS) compatibility is crucial for integrating 2D materials into neuromorphic hardware.
Purpose of the Study:
- To develop a scalable 2D synaptic array with CMOS compatibility.
- To demonstrate the performance and reliability of 2D artificial synapses for neuromorphic applications.
- To explore the potential of 2D transition metal dichalcogenides in next-generation computing architectures.
Main Methods:
- Fabrication of a 2D transition metal dichalcogenide-based synaptic array on a silicon-rich silicon nitride (sr-SiN) substrate.
- Characterization of array performance, including analogue on/off ratio, conductance linearity, and variability.
- Evaluation of the synaptic array's performance on the MNIST handwritten dataset for pattern recognition.
Main Results:
- The fabricated array exhibited uniform performance with a high analogue on/off ratio and linear conductance update.
- Low cycle-to-cycle (1.5%) and device-to-device (5.3%) variability were achieved, essential for neuromorphic hardware.
- The artificial synapses demonstrated a 91% recognition accuracy on the MNIST handwritten dataset.
Conclusions:
- A simple and industry-compatible approach for fabricating 2D synaptic arrays using sr-SiN dielectric was presented.
- The developed 2D synaptic array shows significant promise for implementing large-scale neuromorphic hardware.
- This work establishes a new paradigm for utilizing 2D materials in advanced neuromorphic computing systems.
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