Publications associées à Reconfigurable Timed Discrete-Event Systems

Publications associées (41)

Brownian Swarm Dynamics and Burgers’ Equation with Higher Order Dispersion

he concept of ranked order probability distribution unveils natural probabilistic interpretations for the kink waves (and hence the solitons) solving higher order dispersive Burgers’ type PDEs. Thanks to this underlying structure, it is possible to propose ...

2020

Two-fluid plasma model for radial Langmuir probes as a converging nozzle with sonic choked flow, and sonic passage to supersonic flow

Ivo Furno, Alan Howling, Philippe Frédérique Bruno Guittienne

Using the Lambert function, Guittienne et al. [Phys. Plasmas 25, 093519 (2018)] derived two-fluid solutions for radial Langmuir probes in collisionless and isothermal plasma. In this Brief Communication, we point out the close analogy with classical compre ...

American Institute of Physics (AIP)2019

Applications of the thawed Gaussian approximation to electronic spectroscopy

Eriks Kletnieks

The exploration of electronically excited states and the study of diverse photochemical and photophysical processes are the main goals of molecular electronic spectroscopy. Exact quantum-mechanical simulation of such experiments is, however, beyond current ...

EPFL2024

A New Panel Element Tester for the Investigation of Reinforced Concrete Behavior under Non-proportional Load Paths

Gilles Guignet, Elias Merhi, David Michael Volpe Ruggiero

The first Panel Element Tester was conceived by Vecchio and Collins at the University of Toronto in the late 1970s. This apparatus allows for the mechanical testing of concrete elements under combined in-plane normal and shear stresses and provided importa ...

fib. The International Federation for Structural Concrete2024

On the Soil-Structure Interaction of Surface Strip Footings at Ultimate Limit State

Lyesse Laloui, Cristiano Garbellini

Theoretical methods for estimating the bearing capacity of surface strip footings usually do not consider soil-structure interaction. A few publications deal with the subject, but all of these either do not apply rigorous methods or do not consider the gen ...

ISSMGE2018

Dexterous Underwater Manipulation from Distant Onshore Locations

Sylvain Calinon, Ajay Kumar Tanwani

Underwater manipulation is a challenging problem. The state of the art is dominated by Remotely Operated Vehicles (ROV). ROV operations typically require an offshore crew consisting of at least an intendant, an operator, and a navigator. This crew often ha ...

2018

Expectation propagation in the large data limit

Guillaume Philippe Ivan Joseph Dehaene

Expectation propagation (EP) is a widely successful algorithm for variational inference. EP is an iterative algorithm used to approximate complicated distributions, typically to find a Gaussian approximation of posterior distributions. In many applications ...

Wiley2018

Restoration of sensory information via bionic hands

Silvestro Micera

This Review discusses non-invasive and invasive technologies for conveying artificial sensory feedback through bionic hands. ...

NATURE RESEARCH2023

Development of a consistent approach for design and assessment of structural concrete members using stress fields and strut-and-tie models

Filip Niketic

Designing new concrete members and assessing the strength of existing elements subjected to in-plane stress state conditions is often conducted by means of Stress Fields (SF) and Strut-and-Tie Models (STM). These methods are usually accounting for identica ...

EPFL2017

Distributed flexibility as a cost-effective alternative to grid reinforcement

Christophe Ballif, Nicolas Würsch, Jordan Holweger, Alejandro Pena Bello, Noémie Alice Yvonne Ségolène Jeannin

The deployment of distributed photovoltaics (PV) in low-voltage networks may cause technical issues such as voltage rises, line ampacity violations, and transformer overloading for distribution system operators (DSOs). These problems may induce grid reinfo ...

ELSEVIER2023

An Analytical Model for Beam Flexure Modules Based on Timoshenko Beam Theory

Simon Nessim Henein, Mohammad Hussein Kahrobaiyan, Mohamed Gamal Abdelrahman Ahmed Zanaty

Short beams are the key building blocks in many compliant mechanisms. Hence, deriving a simple yet accurate model of their elastokinematics is an important issue. Since the Euler-Bernoulli beam theory fails to accurately model these beams, we use the Timos ...

2017

Backtracking Dynamical Cavity Method

Barbora Hudcová, Lenka Zdeborová, Freya Behrens

The cavity method is one of the cornerstones of the statistical physics of disordered systems such as spin glasses and other complex systems. It is able to analytically and asymptotically exactly describe the equilibrium properties of a broad range of mode ...

American Physical Society2023

Asymmetric breaking size-segregation waves in dense granular free-surface flows

Christophe Ancey, Kasper van der Vaart

Debris and pyroclastic flows often have bouldery flow fronts, which act as a natural dam resisting further advance. Counter intuitively, these resistive fronts can lead to enhanced run-out, because they can be shouldered aside to form static levees that se ...

Cambridge University Press2016

Automated image-based generation of finite element models for masonry buildings

Katrin Beyer, Radhakrishna Achanta, Bryan German Pantoja Rosero

To predict the response of masonry buildings to various types of loads, engineers use finite element models, specifically solid-element and macro-element models. For predicting masonry responses to seismic events in particular, equivalent frame models-a su ...

SPRINGER2023

Phenotypic heterogeneity driven by nutrient limitation promotes growth in fluctuating environments

Anders Meibom, Stéphane Laurent Escrig, Martin Ackermann

Most microorganisms live in environments where nutrients are limited and fluctuate over time. Cells respond to nutrient fluctuations by sensing and adapting their physiological state. Recent studies suggest phenotypic heterogeneity(1) in isogenic populatio ...

Nature Publishing Group2016

A recipe for cracking the quantum scaling limit with machine learned electron densities

Mario Geiger

A long-standing goal of science is to accurately simulate large molecular systems using quantum mechanics. The poor scaling of current quantum chemistry algorithms on classical computers, however, imposes an effective limit of about a few dozen atoms on tr ...

IOP Publishing Ltd2023

A Hyperspectral Space of Skin Tones for Inverse Rendering of Biophysical Skin Properties

Mengqi Xia

We present a method for estimating the main properties of human skin, leveraging a hyperspectral dataset of skin tones synthetically generated through a biophysical layered skin model and Monte Carlo light transport simulations. Our approach learns the map ...

2023

Design versus Assessment of Concrete Structures Using Stress Fields and Strut-and-Tie Models

Aurelio Muttoni, Miguel Fernández Ruiz, Filip Niketic

Stress fields and strut-and-tie models are widely used for design and assessment of structural concrete members. Although they are often used in the same manner for both purposes, developing suitable stress fields and strut-and-tie models for the design of ...

2015

An Adaptive Multiscale Finite Element Method

Patrick Henning

This work is devoted to an adaptive multiscale finite element method (MsFEM) for solving elliptic problems with rapidly oscillating coefficients. Starting from a general version of the MsFEM with oversampling, we derive an a posteriori estimate for the H-1 ...

Siam Publications2014

Decision-making algorithms for learning and adaptation with application to COVID-19 data

Ali H. Sayed

This work focuses on the development of a new family of decision-making algorithms for adaptation and learning, which are specifically tailored to decision problems and are constructed by building up on first principles from decision theory. A key observat ...

ELSEVIER2022