Field-effect at electrical contacts to two-dimensional materials
Yan Sun, Alvin Tang, Ching-Hua Wang, Yanqing Zhao, Mengmeng Bai,, Shuting Xu, Zheqi Xu, Tao Tang, Sheng Wang, Chenguang Qiu, Kang Xu, Xubiao, Peng, Junfeng Han, Eric Pop, and Yang Chai, Yao Guo

TL;DR
This paper uncovers a capacitive field-effect at electrical contacts to 2D materials, revealing how it influences device behavior and can be harnessed to improve neural network circuits for medical predictions.
Contribution
It introduces the concept of a capacitive field-effect at 2D material contacts and demonstrates its impact on device performance and neural network applications.
Findings
Field-effect causes charge redistribution and current nonlinearity.
Engineered contacts can eliminate current saturation.
Nonlinearity enhances neural network perception capabilities.
Abstract
The inferior electrical contact to two-dimensional (2D) materials is a critical challenge for their application in post-silicon very large-scale integrated circuits. Electrical contacts were generally related to their resistive effect, quantified as contact resistance. With a systematic investigation, this work demonstrates a capacitive metal-insulator-semiconductor (MIS) field-effect at the electrical contacts to 2D materials: the field-effect depletes or accumulates charge carriers, redistributes the voltage potential, and give rise to abnormal current saturation and nonlinearity. On the one hand, the current saturation hinders the devices' driving ability, which can be eliminated with carefully engineered contact configurations. On the other hand, by introducing the nonlinearity to monolithic analog artificial neural network circuits, the circuits' perception ability can be…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Memory and Neural Computing · Graphene research and applications · Ferroelectric and Negative Capacitance Devices
