We will continue with our Seminar Series on Frid. 3 February 2023
On site: Salón de Grados Leganés
Online:
For the next event in the Aerospace PhD Seminar Series, we will have the pleasure of hosting Prof. Esteban Ferrer from the ETSIAE-UPM.
The event will take place in the Salón de Grados on Friday, 3 February 2023 at 12.30 p.m., and will be streamed.
Esteban Ferrer is a professor of applied mathematics at the School of Aeronautics (ETSIAE-UPM). He obtained his Ph.D. by the University of Oxford (UK) and has 20 years of industrial and academic experience in developing numerical techniques for fluid problems. He works actively with industry and coordinates the two EU projects. His main interests include high-order methods for fluid dynamics, turbulence modelling, machine learning and aero-acoustics for aeronautics and wind energy. He has written more than 90 journal and conference papers on these topics.

“New avenues in high order fluid dynamics”
Abstract:
We present the latest developments of our High-Order Spectral Element Solver (HORSES3D), an open source high-order discontinuous Galerkin framework capable of solving a variety of flow applications, including compressible flows (with or without shocks), incompressible flows, various RANS and LES turbulence models, particle dynamics, multiphase flows, and aeroacoustics [1].
Recent developments allow us to simulate challenging multiphysics including turbulent flows, multiphase and moving bodies, using local p-adaption and fast multigrid time advancement. In addition, we present recent work that couples Machine Learning techniques and high order simulations.
[1] E Ferrer, G Rubio, G Ntoukas, W Laskowski, O Mario, S Colombo, A. Mateo-Gabin, F Manrique de Lara, D Huergo, J Manzanero, AM Rueda-Ramrez, DA Kopriva, E Valero. HORSES3D: a high order discontinuous Galerkin solver for flow simulations and multi-physic applications. arXiv:2206.09733, 2022

The seminars will begin at 12.30 p.m. and will take place in the Auditorium Salón de Grados (Padre Soler) campus of Leganés.
No previous registration is required.