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解锁高性能、超低功耗范德华光电晶体管:迈向线后端传感器内机器视觉应用

Unlocking High-Performance, Ultra-Low Power van der Waals Photo-Transistors: Toward Back-End-of-Line in-Sensor Machine Vision Applications.

作者信息

Alolaiyan Olaiyan, Albawardi Shahad, Alsaggaf Sarah, Tabbakh Thamer, DelRio Frank W, Amer Moh R

机构信息

Center of Excellence for Green Nanotechnologies, Microelectronics and Semiconductor Institute, King Abdulaziz City for Science and Technology, Riyadh 11442, Saudi Arabia.

Department of Electrical and Computer Engineering, University of California Los Angeles, Los Angeles, California 90095, United States.

出版信息

ACS Appl Mater Interfaces. 2024 Aug 7;16(31):41310-41320. doi: 10.1021/acsami.4c07231. Epub 2024 Jul 26.

Abstract

Recent reports on machine learning and machine vision (MV) devices have demonstrated the potential of two-dimensional (2D) materials and devices. Yet, scalable 2D devices are being challenged by contact resistance and Fermi level pinning (FLP), power consumption, and low-cost CMOS compatible lithography processes. To enable CMOS + 2D, it is essential to find a proper lithography strategy that can fulfill these requirements. Here, we explored a modified van der Waals (vdW) deposition lithography and demonstrated a relatively new class of van der Waals field effect transistors (vdW-FETs) based on 2D materials. This lithography strategy enabled us to unlock high-performance devices evident by high current on-off ratio (/), high turn-on current density (), and weak FLP. We utilized this approach to demonstrate a gate-tunable near-ideal diode using a MoS/WSe heterojunction with an ideality factor of ∼1.65 and current rectification of 10. We finally demonstrated a highly sensitive, scalable, and ultralow power phototransistor using a MoS/WSe vdW-FET for back-end-of-line integration. Our phototransistor exhibited the highest gate-tunable photoresponsivity achieved to date for white light detection with ultralow power dissipation, enabling ultrasensitive optoelectronic applications such as in-sensor MV. Our approach showed the great potential of modified vdW deposition lithography for back-end-of-line CMOS + 2D applications.

摘要

最近关于机器学习和机器视觉(MV)设备的报告展示了二维(2D)材料及设备的潜力。然而,可扩展的二维设备正面临着接触电阻、费米能级钉扎(FLP)、功耗以及低成本互补金属氧化物半导体(CMOS)兼容光刻工艺等方面的挑战。为实现CMOS + 2D,找到一种能满足这些要求的合适光刻策略至关重要。在此,我们探索了一种改进的范德华(vdW)沉积光刻技术,并展示了一类基于二维材料的相对新型的范德华场效应晶体管(vdW - FET)。这种光刻策略使我们能够制造出高性能的器件,其表现为高电流开关比(/)、高开启电流密度()以及较弱的FLP。我们利用这种方法展示了一种栅极可调的近理想二极管,该二极管采用MoS/WSe异质结,理想因子约为1.65,电流整流比为10。我们最终展示了一种用于后端集成的高灵敏度、可扩展且超低功耗的光电晶体管,该晶体管采用MoS/WSe vdW - FET。我们的光电晶体管在白光检测方面展现出了迄今为止最高的栅极可调光响应度,且功耗超低,能够实现诸如传感器内MV等超灵敏光电应用。我们的方法显示了改进的vdW沉积光刻技术在后端CMOS + 2D应用中的巨大潜力。

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