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2D-SnS-Embedded Schottky Device with Neurotransmitter-Like Functionality Produced Using Proximity Vapor Transfer
Naveen Kumar1,2, Malkeshkumar Patel1,2, Thanh Tai Nguyen1,2
1Photoelectric and Energy Device Application Lab (PEDAL) and Multidisciplinary Core Institute for Future Energies (MCIFE), Incheon National University, Incheon, 22012, South Korea.
Advanced Materials (Deerfield Beach, Fla.)
|November 11, 2024
Summary
Researchers developed a novel single-step method for creating large, transparent artificial synapses for neuromorphic computing. This advancement in 2D material fabrication paves the way for more efficient artificial intelligence applications.
Area of Science:
- Materials Science
- Neuroscience
- Computer Science
Background:
- Neuromorphic computing aims to mimic biological brains using artificial synapses.
- Developing efficient 2D material-based artificial synapses is crucial for advancing AI.
- Current fabrication methods for 2D materials are complex and multistep, hindering large-scale production.
Purpose of the Study:
- To develop a novel, single-step fabrication technique for large-area, uniform, and transparent 2D material-based neuromorphic devices.
- To create an artificial synapse with neurotransmitter-like functionality and photoelectronic synaptic behavior.
- To demonstrate the potential of these devices in performing logical operations and imaging.
Main Methods:
- Employed a single-step proximity vapor transfer (PVT) technique using van der Waals (vdW) materials.
- Fabricated vdW materials on various substrates including glass, ITO, AZO, Mo, and Cu.
- Developed a Schottky device using vdW SnS with acetylcholine-like functionality.
Main Results:
- Achieved large (Ø ≈ 3 in.), uniform, and transparent neuromorphic devices.
- Demonstrated control over thickness and bandgap tunability of vdW materials.
- The SnS-based device exhibited photoelectronic synaptic behavior, synaptic plasticity, and logic gate operations (NOT, OR, AND).
- Successfully performed reward-cascade neurotransmission and imaging using 3 × 3 device arrays.
Conclusions:
- The single-step PVT method offers a viable approach for fabricating large-area, transparent synaptic devices.
- The developed vdW SnS-based device successfully emulates biological synapses and performs complex functions.
- This work represents a significant advancement toward practical neuromorphic computing and AI applications.
