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The electron fluid model in plasmonic field effect transistor (FET) operation is related to the behavior of a radio-frequency (RF) cavity. This new understanding led to finding the relationships between physical device parameters and…

Applied Physics · Physics 2023-07-17 Adam Gleichman , Kindred Griffis , Sergey V. Baryshev

In this paper, we demonstrate by simulation the general usability of an electrostatically doped and electrically reconfigurable planar field-effect transistor (FET) structure. The device concept is partly based on our already published and…

Materials Science · Physics 2014-05-30 Tillmann Krauss , Frank Wessely , Udo Schwalke

This paper introduces a design method for densergraph-frequency graph Fourier frames (DGFFs) to enhance graph signal processing and analysis. The graph Fourier transform (GFT) enables us to analyze graph signals in the graph spectral domain…

Signal Processing · Electrical Eng. & Systems 2025-03-18 Kaito Nitani , Seisuke Kyochi

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…

Further development of the graphene field-effect transistors (GFETs) for high-frequency electronics requires accurate evaluation and study of the mobility of charge carriers in a specific device. Here, we demonstrate that the mobility in…

Graphene Hall effect magnetic field sensors hold great promise for the development of ultra-sensitive magnetometers. Their performance is frequently analysed using the two-channel model where electron and hole conductivities are simply…

Mesoscale and Nanoscale Physics · Physics 2024-10-08 Lionel Petit , Tom Fournier , Géraldine Ballon , Cédric Robert , Delphine Lagarde , Pascal Puech , Thomas Blon , Benjamin Lassagne

For the growth of emerging graphene field-effect transistor (GFET) technologies, a thorough characterization of on-wafer variability is required. Here, we report for the first time a physics-based compact model, which precisely describes…

Mesoscale and Nanoscale Physics · Physics 2025-06-05 N. Mavredakis , A. Pacheco-Sanchez , R. Garcia Cortadella , Anton-Guimerà-Brunet , J. A. Garrido , D. Jiménez

This paper presents a generalization of the charge-based model for ultrathin junctionless double-gate (JLDG) field-effect transistors (FETs) by including quantum electron density. The analytical derivation relies on a first-order correction…

Applied Physics · Physics 2018-10-17 Majid Shalchian , Farzan Jazaeri , Jean-Michel Sallese

Graphene has a multitude of striking properties that make it an exceedingly attractive material for various applications, many of which will emerge over the next decade. However, one of the most promising applications lie in exploiting its…

The performance of field effect transistors based on an single graphene ribbon with a constriction and a single back gate are studied with the help of atomistic models. It is shown how this scheme, unlike that of traditional…

Mesoscale and Nanoscale Physics · Physics 2014-04-09 F. Munoz-Rojas , J. Fernandez-Rossier , L. Brey , J. J. Palacios

Three types of first generation epitaxial graphene field effect transistors (FET) are presented and their relative merits are discussed. Graphene is epitaxially grown on both the carbon and silicon faces of hexagonal silicon carbide and…

Materials Science · Physics 2010-05-02 Xuebin Li , Xiaosong Wu , Mike Sprinkle , Fan Ming , Ming Ruan , Yike Hu , Claire Berger , Walt A. de Heer

A dual-gate graphene field-effect transistors is presented, which shows improved RF performance by reducing the access resistance using electrostatic doping. With a carrier mobility of 2700 cm2/Vs, a cutoff frequency of 50 GHz is…

Mesoscale and Nanoscale Physics · Physics 2009-12-21 Yu-Ming Lin , Hsin-Ying Chiu , Keith A. Jenkins , Damon B. Farmer , Phaedon Avouris , Alberto Valdes-Garcia

There is a wide range of science and applications accessible via the strain engineering of quantum transport in 2D materials. We propose a realistic experimental platform for uniaxial strain engineering of ballistic charge transport in…

Mesoscale and Nanoscale Physics · Physics 2019-05-15 A. C. McRae , G. Wei , A. R. Champagne

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 recent fabrication of graphene nanoribbon (GNR) field-effect transistors poses a challenge for first-principles modeling of carbon nanoelectronics due to many thousand atoms present in the device. The state of the art quantum transport…

Mesoscale and Nanoscale Physics · Physics 2010-04-28 Denis A. Areshkin , Branislav K. Nikolic

We report the realization of top-gated graphene nanoribbon field effect transistors (GNRFETs) of ~10 nm width on large-area epitaxial graphene exhibiting the opening of a band gap of ~0.14 eV. Contrary to prior observations of disordered…

Magnetic gears offer significant advantages over mechanical gears, including contactless power transfer, but require efficient and accurate modeling tools for optimization and commercialization. This paper presents the first fast and…

Systems and Control · Electrical Eng. & Systems 2025-02-24 Danial Kazemikia , Matthew Gardner

A spin field effect transistor (FET) is proposed by utilizing a graphene nanoribbon as the channel. Similar to the conventional spin FETs, the device involves ferromagnetic metals as a source and drain; they, in turn, are connected to the…

Materials Science · Physics 2007-07-23 Y. G. Semenov , K. W. Kim , J. M. Zavada

The paradigm of graphene transistors is based on the gate modulation of the channel carrier density by means of a local channel gate. This standard architecture is subject to the scaling limit of the channel length and further restrictions…

Mesoscale and Nanoscale Physics · Physics 2018-05-01 Q. Wilmart , A. Inhofer , M. Boukhicha , W. Yang , M. Rosticher , P. Morfin , N. Garroum , G. Fève , J. -M. Berroir , B. Plaçais

Placement is a critical task with high computation complexity in VLSI physical design. Modern analytical placers formulate the placement objective as a nonlinear optimization task, which suffers a long iteration time. To accelerate and…

Machine Learning · Computer Science 2025-02-26 Yiting Liu , Hai Zhou , Jia Wang , Fan Yang , Xuan Zeng , Li Shang