FARE-X-AROMA-CFD project deals with advanced numerical analysis for parametric partial differential equations (PDEs) to improve scientific computing performances in more and more complex computational mechanics problems. The aim of the FARE-X-AROMA-CFD project is to guarantee two further goals for ERC funded AROMA CFD project and to consolidate a strong critical mass in the development of numerical methods for computational reduction in fluid-dynamics and applications: computation reduction techniques, compressible flows and reduction in parametric space.

Cross-fertilization of Ideas for real success stories, ESOF editorial by G.Rozza, May 2019

SIS-FVG and the initiative with MIT, May 2019

Plenary talk at SIAM CSE19 by PI Prof. Gianluigi Rozza, February 2018

FARE Funding for three SISSA scientist, December 21, 2017

  • Prof. Gianluigi Rozza (PI)
  • Dr. Andrea Lario (post-doc research Associate), 2018-2021
  • Mr. Matteo Zancanaro (PhD student), 2018-2021
  • Mr. Francesco Romor (Master student), 2019-2020

A new research position in Mathematics area within the group. To learn more: Selezione pubblica per titoli per il conferimento di n. 1 assegno di ricerca –  Area Matematica (ref. prof. Rozza) | Scuola Internazionale Superiore di  Studi Avanzati (sissa.it) 

Title/project: Metodi Avanzati di Ordine Ridotto per Problemi Parametrizzati di Fluidodinamica Numerica per sviluppi offline-online del calcolo scientifico/Advanced Reduced Order Methods for Parametrized Problems in Computational Fluid Dynamics for Offline-Online Application

 To apply (with deadline March 24 at 1pm): 

FARE-X-AROMA-CFD is an initiative of Italian Government, funded by the Italian Ministry for Education, University and Research (MIUR) to incentivate ERC grantees to stay in Italian Universities or to come back to Italy from abroad. FARE funded proposal opening new research lines closely related with the main topics of the already funded ERC project AROMA-CFD. FARE-X-AROMA is focused on reduced order methods for compressible flows and reduction in parameter space.