Francesco Ballarin

Computational Mechanics · 2015

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Francesco Ballarin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Andrea Manzoni
  2. Kevin T. Carlberg
  3. Toni Lassila
  4. Charbel Farhat
  5. Gianluigi Rozza
  6. Alfio Maria Quarteroni
  7. Klaus-Jürgen Bathe
  8. Charbel Bou-Mosleh
  9. Matthias Heinkenschloss
  10. Max D. Gunzburger

Who trusts Francesco Ballarin overall

  1. Stefano Lorenzi
  2. Giovanni Stabile
  3. Antonio Cammi
  4. Saddam Hijazi

Papers from Francesco Ballarin's perspective

Ordered by how strongly the researchers Francesco Ballarin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Efficient non‐linear model reduction via a least‐squares Petrov–Galerkin projection and compressive tensor approximations
  2. The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows (Journal of Computational Physics)
  3. POD and CVT-based reduced-order modeling of Navier-Stokes flows
  4. Enablers for robust POD models (Journal of Computational Physics)
  5. An efficient computational framework for reduced basis approximation and a posteriori error estimation of parametrized Navier–Stokes flows
  6. The inf–sup condition and its evaluation for mixed finite element methods
  7. Model Order Reduction in Fluid Dynamics: Challenges and Perspectives
  8. Stabilized finite element methods for the generalized Oseen problem
  9. Application of the Discrete Empirical Interpolation Method to Reduced Order Modeling of Nonlinear and Parametric Systems
  10. Reduced-order modeling of time-dependent PDEs with multiple parameters in the boundary data

Their papers