journal article·2024-08-07

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

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

ACS Applied Materials & Interfaces· Volume 16· Issue 31
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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 ( I on / I off ), high turn-on current density ( I on ), and weak FLP. We utilized this approach to demonstrate a gate-tunable near-ideal diode using a MoS 2 /WSe 2 heterojunction with an ideality factor of ∼1.65 and current rectification of 10 2 . We finally demonstrated a highly sensitive, scalable, and ultralow power phototransistor using a MoS 2 /WSe 2 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.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: 2D Materials and Applications · Advanced Memory and Neural Computing · Nanowire Synthesis and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

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

Material, Physical, and Chemical Sciences Center, Sandia National Laboratories, Albuquerque, New Mexico 87123, United States

Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California 90089, United States

Funding

Laboratory Directed Research and Development · King Abdulaziz City for Science and Technology

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