42 citations · 194 across the 15 of their papers we have counts for
5 papers · 1 filter
A Scalable Compact Model for the Static Drain Current of Graphene FETs
Nikolaos Mavredakis, Anibal Pacheco-Sanchez, Oihana Txoperena +2
The main target of this article is to propose for the first time a physics-based continuous and symmetric compact model that accurately captures IV experimental dependencies induce…
Compact modeling technology for the simulation of integrated circuits based on graphene field-effect transistors
Francisco Pasadas, Pedro C. Feijoo, Nikolaos Mavredakis +3
In this study, we report the progress made towards the definition of a modular compact modeling technology for graphene field-effect transistors (GFET) that enables the electrical…
Input referred low-frequency noise analysis for single-layer graphene FETs
Nikolaos Mavredakis, David Jimenez
The bias-dependence of input referred low-frequency noise (LFN), SVG, is a considerable facet for RF circuit design. SVG was considered constant in silicon transistors but this was…
Bias Dependent Variability of Low Frequency Noise in Single Layer Graphene FETs
Nikolaos Mavredakis, Ramon Garcia Cortadella, Xavi Illa +5
Low-frequency noise (LFN) variability in graphene transistors (GFETs) is for the first time researched in this work. LFN from an adequate statistical sample of long-channel solutio…
Low-frequency noise parameter extraction method for single layer graphene FETs
Nikolaos Mavredakis, Wei Wei, Emiliano Pallecchi +7
In this paper, a detailed parameter extraction methodology is proposed for low-frequency noise (LFN) in single layer (SL) graphene transistors (GFETs) based on a recently establish…