December 1 - 6, 2024
Boston, Massachusetts
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2024 MRS Fall Meeting & Exhibit
EL03.07.09

Gate-Tunable Homojunction of 2D Semiconductor for Low-Power Electronics

When and Where

Dec 3, 2024
8:00pm - 10:00pm
Hynes, Level 1, Hall A

Presenter(s)

Co-Author(s)

Kyungmin Yang1,June-Chul Shin1,Won Seok Choi1,Gwan-Hyoung Lee1

Seoul National University1

Abstract

Kyungmin Yang1,June-Chul Shin1,Won Seok Choi1,Gwan-Hyoung Lee1

Seoul National University1
Recently, low power consumption in both the static and dynamic modes of operation has been crucial for the successful development of next generation electronic devices. However, continuous down-scaling of transistors faces a bottleneck due to power consumption issues, such as leakage current and operating voltage. In this regard, two-dimensional (2D) semiconductors have been considered as promising candidates for low-power transistors owing to efficient gate-tunability and absence of short channel effect even in the ultra-scaled size. Here, we demonstrate gate-tunable homojunction of 2D semiconductor for low-power electronics. The barrier within 2D homojunction is freely modulated by a graphene gate without any interference, such as Fermi-level pinning. Benefiting from the gate-tunable barrier, our device showed a very low off-current of 10<sup>-16</sup> A/μm due to suppressed electron transport in off-state of 2D channel, indicating low power consumption in the static mode of operation. Furthermore, our device exhibited a low subthreshold swing of 58 mV/decade, which is close to the Boltzmann limit. It is the first approach to measure an off-current and achieve an extremely low off-current using diode-like structure in 2D channel. Our 2D transistor with partial gate shows a great potential in low power electronics that request low off-current and subthreshold swing.

Keywords

2D materials

Symposium Organizers

Deji Akinwande, The University of Texas at Austin
Cinzia Casiraghi, University of Manchester
Carlo Grazianetti, CNR-IMM
Li Tao, Southeast University

Session Chairs

Carlo Grazianetti
Li Tao

In this Session