2D‐SnS‐Embedded Schottky Device with Neurotransmitter‐Like Functionality Produced Using Proximity Vapor Transfer Method for Photonic Neurocomputing

Neuromorphic computing, which involves the creation of artificial synapses capable of mimicking biological brain activity, has intrigued researchers in the field of artificial intelligence (AI). To advance neuromorphic computing, a highly efficient 2D material-based artificial synapse capable of performing logical and arithmetic operations must be developed. However, fabricating large, uniform films or high-quality structures of 2D materials remains challenging because of their multistep and complex fabrication processes. In the present study, to produce large (Ø ≈ 3 in.), uniform, transparent neuromorphic devices, a novel single-step approach called proximity vapor transfer (PVT) that utilizes van der Waals (vdW) materials is employed. This single-step technique, which involves the fabrication of vdW materials on various substrates (glass, ITO, AZO, Mo, and Cu), allows control of the thickness and bandgap tunability. The Schottky device developed via the PVT method using vdW SnS with neurotransmitter (acetylcholine)-like functionality emulates biological synapses and exhibits photoelectronic synaptic behavior with wide-field-of-view synaptic plasticity. In addition, logic gate operations (NOT, OR, AND), reward-cascade neurotransmission, and imaging can be performed using 3 × 3 arrays of the device. This study represents a significant step toward the development of transparent and large-area synaptic devices, which are crucial for advancing AI applications.

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Publication Details

Journal
Advanced Materials
Published
2024-11-10
DOI
https://doi.org/10.1002/adma.202411420
Citations
8
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.67
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article

2D‐SnS‐Embedded Schottky Device with Neurotransmitter‐Like Functionality Produced Using Proximity Vapor Transfer Method for Photonic Neurocomputing

Malkeshkumar Patel, P. K. Bhatnagar, Thanh Tai Nguyen, Joondong Kim et al.
8 citations
Advanced Materials
Advanced Memory and Neural Computing
1.67
article

2D‐SnS‐Embedded Schottky Device with Neurotransmitter‐Like Functionality Produced Using Proximity Vapor Transfer Method for Photonic Neurocomputing

Malkeshkumar Patel, P. K. Bhatnagar, Thanh Tai Nguyen, Joondong Kim, Jung‐Hyun Lee, Naveen Kumar, Chanhyuk Choi
article en
8 citations

Abstract

Neuromorphic computing, which involves the creation of artificial synapses capable of mimicking biological brain activity, has intrigued researchers in the field of artificial intelligence (AI). To advance neuromorphic computing, a highly efficient 2D material-based artificial synapse capable of performing logical and arithmetic operations must be developed. However, fabricating large, uniform films or high-quality structures of 2D materials remains challenging because of their multistep and complex fabrication processes. In the present study, to produce large (Ø ≈ 3 in.), uniform, transparent neuromorphic devices, a novel single-step approach called proximity vapor transfer (PVT) that utilizes van der Waals (vdW) materials is employed. This single-step technique, which involves the fabrication of vdW materials on various substrates (glass, ITO, AZO, Mo, and Cu), allows control of the thickness and bandgap tunability. The Schottky device developed via the PVT method using vdW SnS with neurotransmitter (acetylcholine)-like functionality emulates biological synapses and exhibits photoelectronic synaptic behavior with wide-field-of-view synaptic plasticity. In addition, logic gate operations (NOT, OR, AND), reward-cascade neurotransmission, and imaging can be performed using 3 × 3 arrays of the device. This study represents a significant step toward the development of transparent and large-area synaptic devices, which are crucial for advancing AI applications.

Advanced MaterialsVol. 37(1)
Incheon National University (KR)
Openalex Percentile: Top 15%
Advanced Memory and Neural Computing
1.67
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