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

IF 27.4 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Naveen Kumar, Malkeshkumar Patel, Thanh Tai Nguyen, Junghyun Lee, Chanhyuk Choi, Priyanka Bhatnagar, Joondong Kim
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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.
利用近距离蒸发转移法制造具有类似神经递质功能的二维-SnS 嵌入肖特基器件,用于光子神经计算
神经形态计算涉及创建能够模仿生物大脑活动的人工突触,它一直吸引着人工智能(AI)领域的研究人员。要推动神经形态计算的发展,必须开发出一种基于二维材料、能够执行逻辑和算术运算的高效人工突触。然而,由于二维材料的制造工艺多步且复杂,因此制造大型均匀薄膜或高质量结构仍具有挑战性。在本研究中,为了制造大型(直径 ≈ 3 英寸)、均匀、透明的神经形态器件,采用了一种利用范德华(vdW)材料的新型单步方法,即近距离气相转移(PVT)。这种一步法技术包括在各种基底(玻璃、ITO、AZO、钼和铜)上制造 vdW 材料,从而控制厚度和带隙可调性。利用具有类似神经递质(乙酰胆碱)功能的 vdW SnS,通过 PVT 方法开发出的肖特基器件可模拟生物突触,并表现出具有宽视场突触可塑性的光电子突触行为。此外,该装置的 3 × 3 阵列还能进行逻辑门操作(NOT、OR、AND)、奖赏级联神经传递和成像。这项研究标志着向开发透明和大面积突触器件迈出了重要一步,而这对推动人工智能应用至关重要。
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来源期刊
Advanced Materials
Advanced Materials 工程技术-材料科学:综合
CiteScore
43.00
自引率
4.10%
发文量
2182
审稿时长
2 months
期刊介绍: Advanced Materials, one of the world's most prestigious journals and the foundation of the Advanced portfolio, is the home of choice for best-in-class materials science for more than 30 years. Following this fast-growing and interdisciplinary field, we are considering and publishing the most important discoveries on any and all materials from materials scientists, chemists, physicists, engineers as well as health and life scientists and bringing you the latest results and trends in modern materials-related research every week.
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