Most Accessed Articles: Advanced Modeling and Simulation in Engineering Scienceshttps://amses-journal.springeropen.comMost Accessed Articles: Advanced Modeling and Simulation in Engineering SciencesHow to tell the difference between a model and a digital twinhttps://amses-journal.springeropen.com/articles/10.1186/s40323-020-00147-4“When I use a word, it means whatever I want it to mean”: Humpty Dumpty in Alice’s Adventures Through The Looking Glass, Lewis Carroll. “Digital twin” is currently a term applied in a wide variety of ways. Some d...Research articleWed, 11 Mar 2020 00:00:00 GMThttps://amses-journal.springeropen.com/articles/10.1186/s40323-020-00147-4Louise Wright and Stuart Davidson2020-03-11T00:00:00ZA new mortar formulation for modeling elastomer bedded structures with modal-analysis in 3Dhttps://amses-journal.springeropen.com/articles/10.1186/s40323-014-0018-0It is a well-known fact that cross-laminated timber structures are sensitive to rumbling noises. These transmissions are best captured by a fully three-dimensional mathematical model. Since the discretization ...Research ArticleThu, 06 Nov 2014 00:00:00 GMThttps://amses-journal.springeropen.com/articles/10.1186/s40323-014-0018-0Thomas Horger, Stefan Kollmannsberger, Felix Frischmann, Ernst Rank and Barbara Wohlmuth2014-11-06T00:00:00ZA frontal approach to hex-dominant mesh generationhttps://amses-journal.springeropen.com/articles/10.1186/2213-7467-1-8Indirect quad mesh generation methods rely on an initial triangular mesh. So called triangle-merge techniques are then used to recombine the triangles of the initial mesh into quadrilaterals. This way, high-qu...Research articleMon, 10 Feb 2014 00:00:00 GMThttps://amses-journal.springeropen.com/articles/10.1186/2213-7467-1-8Tristan Carrier Baudouin, Jean-François Remacle, Emilie Marchandise, François Henrotte and Christophe Geuzaine2014-02-10T00:00:00ZModel order reduction assisted by deep neural networks (ROM-net)https://amses-journal.springeropen.com/articles/10.1186/s40323-020-00153-6In this paper, we propose a general framework for projection-based model order reduction assisted by deep neural networks. The proposed methodology, called ROM-net, consists in using deep learning techniques to a...Research articleMon, 06 Apr 2020 00:00:00 GMThttps://amses-journal.springeropen.com/articles/10.1186/s40323-020-00153-6Thomas Daniel, Fabien Casenave, Nissrine Akkari and David Ryckelynck2020-04-06T00:00:00ZApplication of machine learning procedures for mechanical system modelling: capabilities and caveats to prediction-accuracyhttps://amses-journal.springeropen.com/articles/10.1186/s40323-020-00163-4This article presents an investigation about prediction accuracy of multi-parametric models derived from numerical data. Three different mechanical test-cases are used for the generation of the numerical data....Research articleWed, 10 Jun 2020 00:00:00 GMThttps://amses-journal.springeropen.com/articles/10.1186/s40323-020-00163-4Thomas Groensfelder, Fabian Giebeler, Marco Geupel, David Schneider and Rebecca Jaeger2020-06-10T00:00:00Z