Publications associées à Anchor modeling

High-Resolution Modeling Without Computation Slowdown for PETALE in CROCUS

Andreas Pautz, Vincent Pierre Lamirand, Thomas Jean-François Ligonnet, Axel Guy Marie Laureau

In a collaboration between Ecole Polytechnique Fédérale de Lausanne (EPFL) and CEA, in the fall of 2020, the experimental Programme d’Étude en Transmission de l’Acier Lourd et ses Eléments (PETALE) was successfully carried out in the CROCUS reactor of EPFL ...

2024

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

Colin Neil Jones, Roland Schwan, Melanie Nicole Zeilinger, Xuan Truong Nghiem

Physics-informed machine learning (PIML) is a set of methods and tools that systematically integrate machine learning (ML) algorithms with physical constraints and abstract mathematical models developed in scientific and engineering domains. As opposed to ...

IEEE2023

A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives

Olga Fink, Chao Hu, Sayan Ghosh

As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented attention because of its promise to further optimize process design, quality control, health monitoring, decision- and policy-making, and more, by comprehensively m ...

SPRINGER2023

Data-driven modeling of beam loss in the LHC

Tatiana Pieloni, Michael Schenk, Ekaterina Krymova, Loïc Thomas Davies Coyle

In the Large Hadron Collider, the beam losses are continuously measured for machine protection. By design, most of the particle losses occur in the collimation system, where the particles with high oscilla-tion amplitudes or large momentum error are scrape ...

FRONTIERS MEDIA SA2023

Modeling of second-order nonlinear metasurfaces

Olivier Martin, Karim Achouri, Andrei Kiselev

We present a frequency-domain modeling technique for second-order nonlinear metasurfaces. The technique is derived from the generalized sheet transition conditions (GSTCs), which have been so far mostly used for modeling linear metasurfaces. In this work, ...

IOP Publishing Ltd2022

A comprehensive review of digital twin - part 1: modeling and twinning enabling technologies

Olga Fink, Chao Hu, Sayan Ghosh

As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented attention because of its promise to further optimize process design, quality control, health monitoring, decision and policy making, and more, by comprehensively mo ...

SPRINGER2022

Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows

Daniel Keller

Modeling in neuroscience occurs at the intersection of different points of view and approaches. Typically, hypothesis-driven modeling brings a question into focus so that a model is constructed to investigate a specific hypothesis about how the system work ...

2022

Flocking-enhanced social contagion

Ignacio Pagonabarraga Mora

Populations of mobile agents-animal groups, robot swarms, or crowds of people-self-organize into a large diversity of states as a result of information exchanges with their surroundings. While in many situations of interest the motion of the agents is driv ...

AMER PHYSICAL SOC2020

Contact networks across ages: computational analysis of epidemiological dynamics

Gianrocco Lazzari

For decades mathematical modeling in epidemiology has helped understanding the dynamics of infectious diseases, as well as describe possible intervention scenarios to prevent and control them. However, such models were relying on several assumptions, such ...

EPFL2020

A Novel Approach to Modeling Enterprise Services Leveraging Object Cloning and Multilevel Classification

Alain Wegmann, Lam Son Lê

Object-oriented modeling is concerned with capturing common properties of objects. The dominant thinking in this realm is to classify objects that share certain properties into what is called a class, which in turn enables us to instantiate additional obje ...

IEEE2019

Nonlinear dynamics of the near-shore boundary layer of a large lake (Lake Geneva)

David Andrew Barry, Ulrich Lemmin, Damien Bouffard, Andrea Cimatoribus

We examine near-shore and pelagic current variability in Lake Geneva, a large and deep lake in western Europe, using observations from several measurement locations and a three-dimensional numerical model for the period 2014-2016. Linear internal seiche mo ...

2018

Characterization and Compact Modeling of Nanometer CMOS Transistors at Deep-Cryogenic Temperatures

Edoardo Charbon, Harald Arjan Robert Homulle, Fabio Sebastiano

Cryogenic characterization and modeling of two nanometer bulk CMOS technologies (0.16-μm and 40-nm) are presented in this paper. Several devices from both technologies were extensively characterized at temperatures of 4 K and below. Based on a detailed und ...

2018

Virtual Prototyping Methodology for Power Automation Cyber-Physical-Systems

Juan Sebastian Rodriguez Estupinan

In this thesis, the author proposes a circular system development model which considers all the stages in a typical development process for industrial systems. In particular, the present work shows that the use of virtual prototyping at early stages of the ...

EPFL2017

The influence of through-thickness reinforcement geometry and pattern on delamination of fiber-reinforced composites: Part II - Modeling

Véronique Michaud, John Botsis, Georgios Pappas

This article reports modeling techniques and results based on experimental Mode I characterization of a layered woven GFRP material with tufting reinforcement. Standard tuft and loop-less geometries are investigated on three different areal patterns to eva ...

Elsevier2017

Modeling and characterization of grain structures and defects in solidification

Michel Rappaz

The paper by Karma and Tourret (this volume) in this special issue focuses on multiscale modeling approaches ranging from atoms to microstructure. In the present one, the most recent and significant modeling contributions dealing with the scale of solidifi ...

Elsevier2016

Guidelines on Nonlinear Dynamic Analysis for Performance-Based Seismic Design of Steel and Concrete Moment Frames

Dimitrios Lignos

Nonlinear dynamic (response history) analysis is being used increasingly in design practice for the performance-based seismic design of new buildings. In contrast to nonlinear static analysis, dynamic analysis requires more explicit modeling of cyclic resp ...

2016

OsmoseLua – An Integrated Approach to Energy Systems Integration with LCIA and GIS

François Maréchal, Maziar Kermani, Min-Jung Yoo, Lindsay Dianne Lessard

In this paper, we present our recent work on the implementation of an Energy Systems Integration platform allowing the modeling of Energy Systems integrating LCI (Life Cycle Inventory), LCIA (Life Cycle Impact Assessment) and GIS (Geographical Information ...

Elsevier2015

A Situated and Embodied Approach to Service-oriented Modeling

Anshuman Bahadur Saxena

[Context] As opposed to the traditional approach to problem solving, which limits the scope of the solution to the stated problem, the mandate for services is to go deeper and focus on the value that the proposed solution creates for the entities affected ...

EPFL2014

Modeling the constant amplitude fatigue behavior of adhesively bonded pultruded GFRP joints

Thomas Keller, Anastasios Vassilopoulos, Roohollah Sarfaraz Khabbaz

The constant amplitude fatigue behavior of adhesively bonded pultruded glass fiber reinforced polymer double-lap joints were modeled by a number of conceptually different phenomenological SN (cyclic stress vs. number of cycle) formulations. An extended dat ...

Brill Academic Publishers2013

Predicting the Usefulness of Monitoring for Identifying the Behavior of Structures

Ian Smith, James-Alexandre Goulet

Structures can be better understood when measurement data are used to improve the modeling of structural behavior. Our capacity to interpret data depends on aspects such as the choice of model class, model parameters (and their range of possible values), a ...

American Society of Civil Engineers2013