The research topics addressed by Advanced Modeling and Simulation in Engineering Sciences (AMSES) cover the vast domain of the advanced modeling and simulation of materials, processes, and structures governed by the laws of mechanics. The emphasis is on advanced and innovative modeling approaches and numerical strategies.
Aims and Scope
Welcome & Farewell - a new Editor-in-Chief!
We would like to warmly welcome Professor Francisco (Paco) Chinesta, the new Editor-in-Chief of Advanced Modeling and Simulation in Engineering Sciences!
Paco is a full professor at Arts et Métiers Institute of Technology in Paris. He has recognized expertise in hybrid modeling (physics-based and data-driven), allying physics, applied mathematics, and artificial intelligence, the main components of the so-called hybrid twin, with more than 400 journal articles. He received many scientific awards (IACM Fellow, IACM Zienkiewicz award, ESAFORM, …). He is also an honorary fellow of the “Institut Universitaire de France”, a fellow of the Spanish Royal Academy, an Honoris Causa Doctorate from the University of Zaragoza, and a Silver Medal of the French CNRS. He is the Director of the DESCARTES that CNRS develops in its hub in Singapore, on Hybrid Artificial Intelligence for Decision Making in Critical Urban Systems.
We would also like to say farewell and thank our outgoing EiC, Professor Pierre Ladevèze, for his expertise, support, and commitment to developing the journal. He will assume the role of an Honorary Editor on the editorial board of AMOS.
Articles
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A reduced simulation applied to viscoelastic fatigue of polymers using a time multi-scale approach based on partition of Unity method
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Inverse identification of the hardening behavior with a fully 3D virtual fields method
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A new micro HATI second order preserving for transient dynamics
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Response estimation and system identification of dynamical systems via physics-informed neural networks
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How to tell the difference between a model and a digital twin
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A new mortar formulation for modeling elastomer bedded structures with modal-analysis in 3D
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Finite element method-enhanced neural network for forward and inverse problems
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A frontal approach to hex-dominant mesh generation
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Model order reduction assisted by deep neural networks (ROM-net)
2024
Reflecting and anticipating the future of computational mechanics
Edited by: Francisco Chinesta, Charbel Farhat, Peter Wriggers, David Néron
Recent advances in Fourier-based computational approaches for PDEs
Edited by:Faisal Amlani, Niema M. Pahlevan, Carlos Pérez-Arancibia
2023
Advances in Machine Learning and Computational Mechanics
Edited by: Beatriz Moya, Alberto Badías, Chady Gnatios, Giovanni Stabile, Olga Mula
On the quest of constitutive models and extraction of material parameters from full-field measurements
Edited by: Pedro Camanho, François Hild, Stephan Hartmann
Model reduction: past, present and future
Edited by: David Néron, Chinesta Francisco, Pierre Ladevèze
2021
Efficient strategies for surrogate-based optimization including multifidelity and reduced-order models
Edited by: Pierre-Alain Boucard, Piotr Breitkopf, Stefanie Reese, Pierre Duysinx
Data-Based Engineering and Computation
Edited by: Elias Cueto, Francisco Chinesta, Charbel Farhat, Pierre Ladeveze, and Francisco Javier Montans
2019
Data Assimilation in Computational Mechanics – Recent Advances and New Trends
Edited by: Ludovic Chamoin, Andrea Manzoni, and Karen Veroy-Grepl
NAFEMS 2019 World Congress Edition
Edited by: Francisco Chinesta, James Wood, and Ian Symington
Recent Developments in Unfitted Finite Element Methods: Numerical Analysis, High-Performance Adaptive Solution Algorithms and Advanced Digital Pipelines
Edited by: Pierre Kerfriden, Susanne Claus, André Massing, and Dominik Schillinger
State-of-the-Art Model Order Reduction and Its Applications in 2020
Edited by: David Néron, Elias Cueto, Yvon Maday, and Gianluigi Rozza
Computational Modeling of Complex Materials Across the Scales
Edited by: Julien Yvonnet, Paul Steinmann, Marc Geers, and Andrew McBride
Interface Modeling and Simulation in Polycrystalline Materials
Edited by: Claude Fressengeas, Stéphane Berbenni, and Ricardo Lebensohn
Advanced Plate and Shell Models
Edited by: Erasmo Carrera and Francisco Chinesta
2018
Advances in Model Order Reduction Techniques
Edited by: Pierre Ladeveze, Francisco Chinesta and Tomas Chacon Rebollo
2017
Non-intrusive computational techniques and related methods
Edited by: Olivier Allix and Armando Duarte
Towards new paradigms for time integrators in computational dynamic
Edited by: Anthony Gravouil
Computational fracture and failure of materials and structures
Edited by: Olivier Allix and Nicolas Moës
Unfitted techniques in computational mechanics
Edited by: Riccardo Rossi and Alessandro Reali
2016
Model order reduction: POD, PGD and reduced bases
Edited by: Francisco Chinesta, Pierre Ladeveze, and Yvon Maday
2015
Computational mechanics and medicine
Edited by:Bernhard Schrefler and Elias Cueto
Simulation techniques for process modeling
Edited by: Stefanie Reese andTon van den Boogaard
Computational Rheology
Edited by: Roland Keunings and Francisco Chinesta
Verification and validation for and with reduced order modeling
Edited by: Pedro Diez andLudovic Chamoin
Top 5 Most Downloaded Articles of 2023
Are you curious about the most popular reads of the year? Dive into our list of the top 5 most downloaded articles in 2023. From groundbreaking research to thought-provoking insights, these articles have captivated readers worldwide.
How to tell the difference between a model and a digital twin
Authors: Louise Wright & Stuart Davidson
Finite element method-enhanced neural network for forward and inverse problems
Authors: Rishith E. Meethal, Anoop Kodakkal, Mohamed Khalil, Aditya Ghantasala, Birgit Obst, Kai-Uwe Bletzinger & Roland Wüchner
Geometry aware physics informed neural network surrogate for solving Navier–Stokes equation (GAPINN)
Authors: Jan Oldenburg, Finja Borowski, Alper Öner, Klaus-Peter Schmitz & Michael Stiehm
Model order reduction assisted by deep neural networks (ROM-net)
Authors: Thomas Daniel, Fabien Casenave, Nissrine Akkari & David Ryckelynck
Application of machine learning procedures for mechanical system modelling: capabilities and caveats to prediction-accuracy
Authors: Thomas Groensfelder, Fabian Giebeler, Marco Geupel, David Schneider & Rebecca Jaeger
Article Processing Charge (APC) Paying Options
The following are the APC payment options that authors can take upon the submission to Advanced Modeling and Simulation in Engineering Sciences. The option has to be selected at the time of a manuscript submission and follow up actions to the selection will take place if the review decision of the submission is decided as “Accepted for publication”.
Option 1: SpringerOpen Fee Waiver request
Authors from low income countries or from SpringerOpen Membership institutions will be able to separately request waivers or discounts in Editorial Manager.
Option 2: Author self-paying APC
The authors will pay the full charge of APC of their manuscript (EUR 1590; USD 1790; GBP 1140 per paper). Self-paying authors will do so through Editorial Manager.
Option 3: Computational Structural Mechanics Association (CSMA) Fee Coverage Request
There is a full fee sponsorship offered by CSMA for select Special Issue and Review articles. Please note that this not the same as requesting a waiver (see Option 1).
Funding your APC
Affiliated with
Advanced Modeling and Simulation in Engineering Sciences is affiliated with the Computational Structural Mechanics Association (CSMA).
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Annual Journal Metrics
Citation Impact 2023
Journal Impact Factor: 2.0
Source Normalized Impact per Paper (SNIP): 1.243
SCImago Journal Rank (SJR): 6.8
Speed 2024
Submission to first editorial decision (median days): 16
Submission to acceptance (median days): 155
Usage 2024
Downloads: 197,178
Altmetric mentions: 14
- ISSN: 2213-7467 (electronic)