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用于突触晶体管的钒掺杂单层二硫化钼中的掺杂浓度调制

Doping Concentration Modulation in Vanadium-Doped Monolayer Molybdenum Disulfide for Synaptic Transistors.

作者信息

Zou Jingyun, Cai Zhengyang, Lai Yongjue, Tan Junyang, Zhang Rongjie, Feng Simin, Wang Gang, Lin Junhao, Liu Bilu, Cheng Hui-Ming

机构信息

Shenzhen Geim Graphene Center, Tsinghua-Berkeley Shenzhen Institute & Institute of Materials Research, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, P.R. China.

Department of Physics, SUSTech Core Research Facilities, Southern University of Science and Technology, Shenzhen 518055, P.R. China.

出版信息

ACS Nano. 2021 Apr 27;15(4):7340-7347. doi: 10.1021/acsnano.1c00596. Epub 2021 Mar 25.

Abstract

Doping is an effective way to modify the electronic property of two-dimensional (2D) materials and endow them with additional functionalities. However, wide-range control of the doping concentrations in monolayer 2D materials with large-scale uniformity remains challenging. Here, we report chemical vapor deposition growth of vanadium-doped monolayer molybdenum disulfide (MoS) with widely tunable doping concentrations ranging from 0.3 to 13.1 atom %. The key to regulate the doping concentration lies in the use of appropriate vanadium precursors with different doping abilities, which also generate large-scale uniform doping to MoS. Artificial synaptic transistors were fabricated using the heavily doped MoS as the channel material. Synaptic potentiation, depression, and repetitive learning processes were mimicked by the gate-tunable changes of channel conductance in such transistors with abundant vanadium atoms to trap/detrap electrons. This work develops a feasible method to dope monolayer 2D semiconductors and demonstrates their applications in artificial synaptic transistors.

摘要

掺杂是改变二维(2D)材料电子特性并赋予其额外功能的有效方法。然而,在具有大规模均匀性的单层二维材料中对掺杂浓度进行大范围控制仍然具有挑战性。在此,我们报道了通过化学气相沉积生长钒掺杂的单层二硫化钼(MoS),其掺杂浓度范围可在0.3至13.1原子%之间广泛调节。调节掺杂浓度的关键在于使用具有不同掺杂能力的合适钒前驱体,这也能实现对MoS的大规模均匀掺杂。使用重掺杂的MoS作为沟道材料制造了人工突触晶体管。通过具有大量钒原子以捕获/释放电子的此类晶体管中沟道电导的栅极可调变化,模拟了突触增强、抑制和重复学习过程。这项工作开发了一种可行的方法来掺杂单层二维半导体,并展示了它们在人工突触晶体管中的应用。

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