MOX is participating in the ESCAPE-2 FET H2020 project for the development of exascale demonstrators for numerical weather prediction. The tasks involve the development of semi-implicit DG discretizations for atmospheric modelling and fault tolerant implementations of advanced iterative solvers. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 800897.
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A new MOX report entitled “An efficient and accurate implicit DG solver for the incompressible Navier-Stokes equations” by Giuseppe Orlando, Alessandro Della […]
Francesco Casella of DEIB-Polimi along with Luca Bonaventura and other group members published a report on implicit multirate methods for stiff […]
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 report on topology optimization of multiple anisotropic materials by Francesco Regazzoni, Nicola Parolini and Marco Verani has appeared in the MOX […]