David Néron: Université Paris-Saclay, France
Chinesta Francisco: École nationale supérieure d'Arts et Métiers, France
Pierre Ladevèze: Ecole normale supérieure de Cachan, France
Submission Status: Open | Submission Deadline: 31 December 2023
Advanced Modeling and Simulation in Engineering Sciences is calling for submissions to our Collection on Model reduction: past, present and future. Model Order Reduction methods in Computational Mechanics have reached such a degree of maturity that they are becoming indispensable tools in many engineering applications such as simulation or hybrid twins. The reduction in complexity they allow constitutes a considerable advance in many engineering problems that remained practically unsolvable despite the impressive progress in numerical simulation techniques. Unfortunately, their integration into engineering calculation tools is not easy and is thus a current issue. Of course, pushing back the limits of these methods is also an important issue today. What marks the current period and the future is the impact of data science and machine learning methods, which require a thorough re-examination of the issue of complexity reduction. This collection aims to bring together papers that answer all these issues and, more generally, push the limits of the current understanding of Model Order Reduction Methods in Engineering and Mathematics.