High order conservative finite difference scheme for variable density low Mach number turbulent flows. - Olivier Desjardins; Guillaume Blanquart; Guillaume Balarac; Heinz Pitsch (J. Comput. Phys., 2008)

Hybrid spectral-particle method for the turbulent transport of a passive scalar. - J.-B. Lagaert; Guillaume Balarac; Georges-Henri Cottet (J. Comput. Phys., 2014)

Energy preserving turbulent simulations at a reduced computational cost. - Francesco Capuano; Gennaro Coppola; Guillaume Balarac; Luigi de Luca (J. Comput. Phys., 2015)

Physical invariance in neural networks for subgrid-scale scalar flux modeling. - Hugo Frezat; Guillaume Balarac; Julien Le Sommer; Ronan Fablet; Redouane Lguensat (CoRR, 2020)

A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps. - Hugo Frezat; Julien Le Sommer; Ronan Fablet; Guillaume Balarac; Redouane Lguensat (CoRR, 2021)

Traction open boundary condition for incompressible, turbulent, single- or multi-phase flows, and surface wave simulations. - Cyril Bozonnet; Olivier Desjardins; Guillaume Balarac (J. Comput. Phys., 2021)

A finite-volume method for simulating contact lines on unstructured meshes in a conservative level-set framework. - Savinien Pertant; Manuel Bernard; Giovanni Ghigliotti; Guillaume Balarac (J. Comput. Phys., 2021)

Numerical simulation of boiling on unstructured grids. - Guillaume Sahut; Giovanni Ghigliotti; Guillaume Balarac; Manuel Bernard; Vincent Moureau; Philippe Marty (J. Comput. Phys., 2021)

A posteriori learning for quasi-geostrophic turbulence parametrization. - Hugo Frezat; Julien Le Sommer; Ronan Fablet; Guillaume Balarac; Redouane Lguensat (CoRR, 2022)

Gradient-free online learning of subgrid-scale dynamics with neural emulators. - Hugo Frezat; Guillaume Balarac; Julien Le Sommer; Ronan Fablet (CoRR, 2023)