Skip to content
Back Home
  • People
  • RESEARCH & INNOVATION
    • Research Areas
    • FUNDED PROJECTS
    • Reports and books
  • Education
    • Computational Science & Computational Learning (CSCL)
    • Statistical Learning (STAT)
  • DISSEMINATION
    • Mox Colloquia
    • MOX SEMINARS
    • Conferences and Workshops
  • Societal Outreach
  • Media
    • News
    • PRESS
    • YouTube Channel
  • Search
Back Home
  • Search
  • People
  • RESEARCH & INNOVATION
    • Research Areas
    • FUNDED PROJECTS
    • Reports and books
  • Education
    • Computational Science & Computational Learning (CSCL)
    • Statistical Learning (STAT)
  • DISSEMINATION
    • Mox Colloquia
    • MOX SEMINARS
    • Conferences and Workshops
  • Societal Outreach
  • Media
    • News
    • PRESS
    • YouTube Channel
Home » sc4i » JCP paper on an adaptive approach to DG-LES modelling
sc4i SC4I News

JCP paper on an adaptive approach to DG-LES modelling

by Nicola Parolini|Published January 21, 2019

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

  • Compressible Flows
  • DG
  • LES
  • Finite Elements

You may also like

Published February 13, 2023

SC4I Seminar by Dario Andrini on optimal design with active materials

On Tuesday 14 February at 2:15 PM in Aula Saleri (VI floor, La Nave Building), Dario Andrini, new MOX postdoc researcher, will […]

Published January 21, 2019

MOX report on implicit multirate ODE methods

  Francesco Casella of DEIB-Polimi along with Luca Bonaventura and other group members published a report on implicit multirate methods for stiff […]

Published March 13, 2022

MOX Report on Non-isothermal non-Newtonian fluids: the stationary case

  A new MOX report entitled “Non-isothermal non-Newtonian fluids: the stationary case” by Maurizio Grasselli, Nicola Parolini, Andrea Poiatti and Marco Verani […]

Published January 24, 2018

Reduced order modeling for the packaging industry

A new project in collaboration with MOXOFF and Tetra Pak has analysed the potential application of reduced order modeling for the design of components […]

  • SC4I
    • People
    • Projects
    • Publications
    • Seminars

Post navigation

  • Previous post JCP paper on free-surface problems with moving contact line
  • Back to post list
  • Next post JSC paper on monotonic ODE methods for stiff problems
      

© 2022 MOX Politecnico di Milano – Dipartimento di Matematica – Via Bonardi, n 9 – 20133 Milano – P.IVA 04376620151 – C.F. 80057930150

Privacy Policy

Cookie Policy

Contacts

Mail address:
p.za Leonardo da Vinci 32
20133 Milano
Phone: +39 02 2399 4611
Web site: mox.polimi.it
E-mail: lab-mox@polimi.it
E-mail: segreteria-mox@polimi.it