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 […]
Antonella Abbà, Luca Bonaventura and other group members published a paper in JCP presenting the first application of dynamic models in a […]
A new paper presenting a novel technique for simultaneously extrancting multiple model parameters for Organic Semiconductor materials from simple measurement data was […]
Since 2016, MOX is collaborating with a leading tire manufacturing company for the development of reduced model for the analysis and prediction […]
