A paper on a p-adaptive approach to LES modelling of compressible flows with DG methods has been published by Antonella Abbà, Luca Bonaventura and other collaborators has been published in Journal of Computational Physics. The paper can be downloaded here
https://www.sciencedirect.com/science/article/pii/S0021999117305788
A new MOX report entitled “Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models” by Stefania Fresca and Andrea […]
A new MOX report entitled “An efficient and accurate implicit DG solver for the incompressible Navier-Stokes equations” by Giuseppe Orlando, Alessandro Della […]
On Tuesday 14 February at 2:15 PM in Aula Saleri (VI floor, La Nave Building), Dario Andrini, new MOX postdoc researcher, will […]
In the framework of the SC4I Group activities, Prof. Carlo Cavallotti (Dipartimento di Chimica, Materiali e Ingegneria Chimica, “G. Natta”, Politecnico di Milano) will […]
