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Call for papers: Advances in Model Order Reduction Techniques

Model Order Reduction is experiencing continuous advances for becoming more efficient, more robust and for embracing challenging applications of scientific and technological relevance. The present issue is expected grouping recent advanced techniques pushing forward the limits of nowadays model reduction techniques in engineering sciences. It is expected to cover techniques like POD, RB and PGD techniques and their application of complex entering problems, covering aspects related to their mathematical foundations, the algorithmic aspects and their applicative potential.

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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, 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, Yvon Maday


2015

Computational mechanics and medicine
Edited by: Bernhard Schrefler, Elias Cueto

Simulation techniques for process modeling
Edited by: Stefanie Reese, Ton van den Boogaard

Computational Rheology
Edited by: Roland Keunings, Francisco Chinesta

Verification and validation for and with reduced order modeling
Edited by: Pedro Diez, Ludovic Chamoin

Article citations follow this format:
Authors: Title. Adv Model Simul Eng Sci [year], [volume number]:[article number].

Mechanical Engineering & Mechanics - SpringerOpen

Mechanical Engineering & Mechanics - SpringerOpen

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We are pleased to announce that AMSES has been accepted for inclusion in Scopus, the world's largest abstract and citation database of peer-reviewed literature.

Aims and scope

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. The main objective is to describe the actual physics of large mechanical systems with complicated geometries as accurately as possible using complex, highly nonlinear and coupled multiphysics and multiscale models, and then to carry out simulations with these complex models as rapidly as possible. In other words, this research revolves around efficient numerical modeling along with model verification and validation. Therefore, the corresponding papers deal with advanced modeling and simulation, efficient optimization, inverse analysis and simulation-based control. These challenging issues require multidisciplinary efforts – particularly in modeling, numerical analysis and computer science – which are treated in this journal.

Being a woman in engineering - an interview with Stefanie Reese

Being a woman in engineering - an interview with Stefanie ReeseIn this Interview, Advanced Modeling and Simulation in Engineering Sciences' Editorial Board Member and Author Stefanie Reese tells us more about herself, shares why she chose her career path & offers some advice for young women interested in engineering.

Read the interview here

Upcoming thematic series

Non-intrusive computational techniques and related methods
Edited by: Olivier Allix, Armando Duarte

Towards new paradigms for time integrators in computational dynamics
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

See all thematic series here.

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2016 Journal Metrics

  • Speed
    19 days from submission to first decision
    28 days from acceptance to publication

    Usage 
    34,785 downloads
    729.0 Usage Factor

    Social Media Impact
    10 mentions

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