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High-performance graphene field-effect transistors have been fabricated on epitaxial graphene synthesized on a two-inch SiC wafer, achieving a cutoff frequency of 100 GHz for a gate length of 240 nm. The high-frequency performance of these…

The recent works proposing transformer-based models for graphs have proven the inadequacy of Vanilla Transformer for graph representation learning. To understand this inadequacy, there is a need to investigate if spectral analysis of the…

Machine Learning · Computer Science 2022-07-19 Anson Bastos , Abhishek Nadgeri , Kuldeep Singh , Hiroki Kanezashi , Toyotaro Suzumura , Isaiah Onando Mulang'

Spectral graph embedding plays a critical role in graph representation learning by generating low-dimensional vector representations from graph spectral information. However, the embedding space of traditional spectral embedding methods…

Machine Learning · Computer Science 2026-05-19 Changjie Sheng , Zhichao Zhang , Yangfan He

Graphdiyne is prepared on metal surface, and making devices out of it also inevitably involves contact with metals. Using density functional theory with dispersion correction, we systematically studied for the first time the interfacial…

This paper presents a circuit performance benchmarking using the large-signal model of graphene field effect transistor reported in Part I of this two-part paper. To test the model, it has been implemented in a circuit simulator.…

Mesoscale and Nanoscale Physics · Physics 2016-09-07 Francisco Pasadas , David Jiménez

Graphene-oxide hybrid structures offer the opportunity to combine the versatile functionalities of oxides with the excellent electronic transport in graphene. Understanding and controlling how the dielectric environment affects the…

Mesoscale and Nanoscale Physics · Physics 2012-07-26 X. Hong , K. Zou , A. M. DaSilva , C. H. Ahn , J. Zhu

Graphene revealed a number of unique properties beneficial for electronics. However, graphene does not have an energy band-gap, which presents a serious hurdle for its applications in digital logic gates. The efforts to induce a band-gap in…

Mesoscale and Nanoscale Physics · Physics 2015-06-16 Guanxiong Liu , Sonia Ahsan , Alexander G. Khitun , Roger K. Lake , Alexander A. Balandin

Graphene devices for analog and RF applications are prone to Low Frequency Noise (LFN) due to its upconversion to undesired phase noise at higher frequencies. Such applications demand the use of short channel graphene transistors that…

We present an atomistic three-dimensional simulation of graphene nanoribbon field effect transistors (GNR-FETs), based on the self-consistent solution of the 3D Poisson and Schroedinger equation with open boundary conditions within the…

Mesoscale and Nanoscale Physics · Physics 2009-11-13 G. Fiori , G. Iannaccone

The analytical model of the small-signal current and capacitance characteristics of RF graphene FET is presented. The model is based on explicit distributions of chemical potential in graphene channels (including ambipolar conductivity at…

Mesoscale and Nanoscale Physics · Physics 2011-12-19 Gennady I. Zebrev , Alexander A. Tselykovskiy , Daria K. Batmanova , Evgeny V. Melnik

This paper reviews the experimental and theoretical state of the art in ballistic hot electron transistors that utilize two-dimensional base contacts made from graphene, i.e. graphene base transistors (GBTs). Early performance predictions…

Effects of interaction of graphene with electron donor and acceptor molecules have been investigated by employing Raman spectroscopy. The G band softens progressively with the increasing concentration of tetrathiafulvalene (TTF) which is an…

Materials Science · Physics 2008-08-26 Rakesh Voggu , Barun Das , Chandra Sekhar Rout , C. N. R. Rao

Graphene nanoribbon (GNR) emerges as an exceptionally promising channel candidate due to its tunable sizable bandgap (0-3 eV), ultrahigh carrier mobility (up to 4600 cm^(2) V^(-1) s^(-1)), and excellent device performance (current on-off…

Mesoscale and Nanoscale Physics · Physics 2024-08-15 Linqiang Xu , Shiqi Liu , Qiuhui Li , Ying Li , Shibo Fang , Ying Guo , Yee Sin Ang , Chen Yang , Jing Lu

The 5x5, 6rt(3)x6rt(3)-R30deg, and graphene-covered 6rt(3)x6rt(3)-R30deg reconstructions of the SiC(0001) surface are studied by scanning tunneling microscopy and spectroscopy. For the 5x5 structure a rich spectrum of surface states is…

Materials Science · Physics 2010-11-23 Shu Nie , R. M. Feenstra

Two-dimensional materials (2DMs) are a promising alternative to complement and upgrade high-frequency electronics. However, in order to boost their adoption, the availability of numerical tools and physically-based models able to support…

It is commonly believed that weak light-matter interactions in low-mobility graphene dramatically limits tunability of graphene-based optoelectronic devices, such as tunable absorbers or switches. In this paper, we develop and use a simple…

Optics · Physics 2018-12-11 Xuchen Wang , Sergei A. Tretyakov

We utilize an organic polymer buffer layer between graphene and conventional gate dielectrics in top-gated graphene transistors. Unlike other insulators, this dielectric stack does not significantly degrade carrier mobility, allowing for…

Materials Science · Physics 2009-11-17 Damon B. Farmer , Hsin-Ying Chiu , Yu-Ming Lin , Keith A. Jenkins , Fengnian Xia , Phaedon Avouris

Graphene field-effect transistors with source/drain contacts made of metals that can be easily oxidized such as ferromagnetic metals often display a double dip structure in the transfer characteristics because of charge density depinning at…

Materials Science · Physics 2014-07-28 Ryo Nouchi , Katsumi Tanigaki

The unique terahertz properties of graphene has been identified for novel optoelectronic applications. In a graphene sample with bias voltage added, there is an enhanced absorption in the far infrared region and a diminished absorption in…

Mesoscale and Nanoscale Physics · Physics 2017-05-18 Yuan Yang , Grigory Kolesov , Lucas Kocia , Eric J. Heller

The reliability of analysis is becoming increasingly important as point-of-care diagnostics are transitioning from single analyte detection towards multiplexed multianalyte detection. Multianalyte detection benefits greatly from…