Publications associées à An improved subthreshold swing expression accounting for back-gate bias in FDSOI FETs

Publications associées (9)

About the process of technology transfer from research to engineering practice

The transfer of technology from research to structural engineering and construction practice is illustrated using two cases of the implementation of innovative engineering methods and technologies in the renewal and 'upcycling' of existing bridges, namely ...

Informa UK Limited2025

Modeling the diffusion and depletion capacitances of a silicon pn diode in forward bias with impedance spectroscopy

Nicolas Würsch

We investigated the capacitance of a forward-biased silicon pn diode using impedance spectroscopy. Despite extensive research spanning decades, no single model in the literature adequately describes the impedance behavior for bias up to the built-in voltag ...

2024

SPLEND1D, a reduced one-dimensional model to investigate the physics of plasma detachment

Christian Gabriel Theiler, Olivier Claude Martin Février, Sophie Danielle Angelica Gorno, Garance Hélène Salomé Durr-Legoupil-Nicoud, Massimo Carpita, Kim Dimuth Von Allmen

Studying the process of divertor detachment and the associated complex interplay of plasma dynamics and atomic physics processes is of utmost importance for future fusion reactors. While simplified analytical models exist to interpret the general features ...

American Institute of Physics (AIP)2024

A new method to interpolate POD reduced bases-Application to the parametric model order reduction of a gas bearings supported rotor

Fabio Nobile, Jürg Alexander Schiffmann, Dimitri Maurice Goutaudier

The proper orthogonal decomposition (POD) is successfully employed in a variety of projection-based methods for parametric model order reduction (pMOR) of large dynamical systems. It extracts the most energetic modes describing the dynamics of a system fro ...

Wiley2023

Training Provably Robust Models by Polyhedral Envelope Regularization

Sabine Süsstrunk, Mathieu Salzmann, Chen Liu

Training certifiable neural networks enables us to obtain models with robustness guarantees against adversarial attacks. In this work, we introduce a framework to obtain a provable adversarial-free region in the neighborhood of the input data by a polyhedr ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

The Natural Robotics Contest: crowdsourced biomimetic design

Raphael Zufferey

Biomimetic and bioinspired design is not only a potent resource for roboticists looking to develop robust engineering systems or understand the natural world. It is also a uniquely accessible entry point into science and technology. Every person on Earth c ...

IOP Publishing Ltd2023

Ab initio study of water dissociation on a charged Pd(111) surface

Guoyuan Liu

The interactions between molecules and electrode surfaces play a key role in electrochemical processes and are a subject of extensive research, both experimental and theoretical. In this paper, we address the water dissociation reaction on a Pd(111) electr ...

2023

Self-consistent gyrokinetic modeling of turbulent and neoclassical tungsten transport in toroidally rotating plasmas

Kyungtak Lim

The effect of toroidal rotation on both turbulent and neoclassical transport of tungsten (W) in tokamaks is investigated using the flux-driven, global, nonlinear 5D gyrokinetic code GYSELA. Nonlinear simulations are carried out with different levels of mom ...

2023

Intrinsic thermal stability of inverted perovskite solar cells based on electrochemical deposited PEDOT

Jing Gao

Thermal stability of perovskite materials is an issue impairing the long-term operation of inverted per-ovskite solar cells (PSCs). Herein, the thermal attenuation mechanism of the MAPbI3 films that deposited on two different hole transport layers (HTL), p ...

ELSEVIER2023