Publications related to Noise Modeling Methodologies in the Presence of Mobility Degradation and their Equivalence

Related publications (13)

Electron Spin Qubit Architectures on Fully Depleted Silicon-On-Insulator Substrates for Scalable Quantum Computing

Quantum computing is expected to complement classical von-Neumann architectures in solving problems beyond the reach of conventional digital machines. This new model of computation leverages the rich complexity of many-body quantum systems to perform compu ...

EPFL2025

A new double multiplication region method to design high sensitivity and wide spectrum SPADs in standard CMOS technologies

Edoardo Charbon, Claudio Bruschini, Ekin Kizilkan, Utku Karaca

Designing SPADs with high sensitivity in a wide wavelength range is crucial since the applications utilizing SPAD-based sensors target different parts of the spectrum. Here, we introduce a novel technique to achieve a wider sensitivity spectrum through the ...

Nature Research2024

Diffusion Moving-Average Adaptation Over Networks

Ali H. Sayed

Recently, the diffusion moving-average (D-MA) scheme has been proposed as a way to combat noisy links over adaptive networks. However, the current theoretical results focus on networks with mean-square error costs where the optimal local solution agrees wi ...

2024

Spectral Estimators for High-Dimensional Matrix Inference

Farzad Pourkamali

A key challenge across many disciplines is to extract meaningful information from data which is often obscured by noise. These datasets are typically represented as large matrices. Given the current trend of ever-increasing data volumes, with datasets grow ...

EPFL2024

Enablers for Overcurrent Capability of Silicon-Carbide-Based Power Converters: An Overview

Elison de Nazareth Matioli

With the increase in penetration of power electronic converters in the power systems, a demand for overcurrent/ overloading capability has risen for the fault clearance duration. This article gives an overview of the limiting factors and the recent technol ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Ferroelectric Junctionless Double-Gate Silicon-On-Insulator FET as a Tripartite Synapse

Mihai Adrian Ionescu, Igor Stolichnov, Ali Saeidi, Matteo Cavalieri, Carlotta Gastaldi, Sadegh Kamaei Bahmaei

In this work, we report the concept and experimentally demonstrate the first tunable ferroelectric (Fe) junctionless (JL) transistor (Fe-JLFET), capable of emulating the functionality of biological tri-partite synapses, which is an artificial three-termina ...

Institute of Electrical and Electronics Engineers2023

Charging and Electric Field Effects on Hydrogen Molecules Physisorbed on Graphene

Klaus Kern, Shai Mangel, Alessio Scavuzzo, Tobias Wollandt

Molecular hydrogen adsorbed on graphene was investigated by analyzing rotational excitation spectra obtained with a gate-tunable scanning tunneling microscope (STM). Through the shift of the rotational excitation energy, the tunability of physisorbed H2 on ...

AMER CHEMICAL SOC2023

Electrically driven insulator-to-metal transition in a correlated insulator: Electronic mechanism and thermal description

Camille Didier Georges Aron

Motivated by the resistive switchings in transition-metal oxides (TMOs) induced by a voltage bias, we study the far-from-equilibrium dynamics of an electric-field-driven strongly correlated model featuring a first-order insulator-to-metal transition at equ ...

2023

Semiconductor-based device architectures in multimaterial fibers

William Nicolas Duncan Esposito

Semiconductor materials have given rise to today's digital technology and consumer electronics. Widespread adoption is closely linked to the ability to process and integrate them in devices at scale. Where flexibility and large surfaces are required, such ...

EPFL2023

Dataset for 'Organic Electrochemical Transistors Printed from Degradable Materials as Disposable Biochemical Sensors'

Danick Briand, Nicolas Francis Fumeaux, Silvia Demuru, Claudio Pinto Almeida

This data set contains the data collected during the FNS project Green Piezo (Grant no. 179064) in association with the publication entitled “Organic Electrochemical Transistors Printed from Degradable Materials as Disposable Biochemical Sensors”. This wor ...

Zenodo2023

Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization

Daniel Kuhn, Viet Anh Nguyen, Peyman Mohajerin Esfahani, Soroosh Shafieezadeh Abadeh

We introduce a distributionally robust minimium mean square error estimation model with a Wasserstein ambiguity set to recover an unknown signal from a noisy observation. The proposed model can be viewed as a zero-sum game between a statistician choosing a ...

2023

Nonlinear Integrated Photonics for Ranging Applications

Anton Lukashchuk

This thesis explores the application of recent advances in integrated photonics to the field of light detection and ranging (LiDAR). The progress in photonic integration allows for unprecedented levels of light manipulation on micrometer scales through the ...

EPFL2023

Transcapacitances Modeling in ultra-thin gate-all-around junctionless nanowire FETs, including 2D quantum confinement

Farzan Jazaeri

In this work, we propose an analytical model for the intrinsic transcapacitances in ultra-thin gate-all-around junctionless nanowire field effect transistors in the presence of confined energy states of electrons. The validity of the developed model is con ...

PERGAMON-ELSEVIER SCIENCE LTD2023