This thematic series groups selected reserach contributions on Model Order Reduction, a new paradigm in the field of simulation-based engineering sciences, and one that can tackle the challenges and leverage the opportunities of modern ICT technologies. Despite the impressive progress attained by simulation capabilities and techniques, a number of challenging problems remain intractable. These problems are of different nature, but are common to many branches of science and engineering. Among them are those related to high-dimensional problems, problems involving very different time scales, models defined in degenerate domains with at least one of the characteristic dimensions much smaller than the others, model requiring real-time simulation, and parametric models. All these problems represent a challenge for standard mesh-based discretization techniques; yet the ability to solve these problems efficiently would open unexplored routes for real-time simulation, inverse analysis, uncertainty quantification and propagation, real-time optimization, and simulation-based control - critical needs in many branches of science and engineering. Model Order Reduction offers new simulation alternatives by circumventing, or at least alleviating, otherwise intractable computational challenges. This thematic series addresses mainly model reduction techniques based on the Proper Orthogonal Decomposition, the Proper Generalized Decomposition, and Reduced Basis methodologies.
Potential topics include, but are not limited to:
- Computational mechanics
- Real time simulation
- Simulation-based control
- Structural mechanics
- Inverse analysis
- Parametric modelling
- Real time decision making
- Uncertainty quantification and propagation
Submission instructions
Before submitting your manuscript, please ensure you have carefully read the Instructions for Authors for Advanced Modeling and Simulation and Engineering Sciences. The complete manuscript should be submitted through the Advanced Modeling and Simulation and Engineering Sciences submission system. To ensure that you submit to the correct thematic series please select the appropriate section in the drop-down menu upon submission. In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the Thematic Series on Model order reduction: POD, PGD and reduced bases. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.
Guest editors
Francisco Chinesta, Ecole Centrale de Nantes
Francisco.Chinesta@ec-nantes.fr
Pierre Ladeveze, ENS Cachan
ladeveze@lmt.ens-cachan.fr
Yvon Maday, University Paris 6
maday@ann.jussieu.fr
Submissions will also benefit from the usual advantages of open access publication:
- Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient
- High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article
- No space constraints: Publishing online means unlimited space for figures, extensive data and video footage
- Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed
For editorial enquiries please contact editorial@amses-journal.com
Sign up for article alerts to keep updated on articles published in Advanced Modeling and Simulation in Engineering Sciences - including articles published in this thematic series!