Nonconventional Analog Comparators Based on Graphene and Ferroelectric Hafnium Zirconium Oxide
| Autor: | Hojoon Ryu, Jialun Liu, Wenjuan Zhu |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
Materials science Comparator business.industry Band gap Graphene Transistor chemistry.chemical_element Type (model theory) 01 natural sciences Ferroelectricity Electronic Optical and Magnetic Materials Hafnium law.invention chemistry law Logic gate 0103 physical sciences Optoelectronics Electrical and Electronic Engineering business |
| Zdroj: | IEEE Transactions on Electron Devices. 68:1334-1339 |
| ISSN: | 1557-9646 0018-9383 |
| DOI: | 10.1109/ted.2021.3049757 |
| Popis: | Unlike transitional semiconductors, graphene has zero bandgap and symmetric electron/hole transport, which leads to unique V-shaped transfer characteristics. Using this property, we design and demonstrate a new type of comparator, which can calculate the absolute distance between two signals, $\left \vert{ {{\mathrm {A-B}}} }\right \vert $ , directly. Dual-gate graphene transistors with ferroelectric hafnium zirconium oxide are fabricated to serve as the basic units of the comparators. We show that the remanent polarization of the ferroelectric hafnium oxide can reach $\sim 30~\mu \text{C}$ /cm2 and the output current of the comparator can serve as a scalar indicator of the similarity level between two signals. The embedded ferroelectric layer can store the reference signal in situ , which will reduce the energy consumption and latency related to the data transport. Furthermore, we demonstrate the feasibility of using ferroelectric graphene comparator in image classification and motion detection. Using the ${k}$ -nearest neighbors (KNNs) algorithm, we show that the graphene comparator arrays can recognize the handwritten digits in the modified national institute of standards and technology (MNIST) data set with over 80% accuracy. These ferroelectric graphene comparators will have broad applications in robotics, security system, self-driving vehicles, and sensor networks. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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