Conférences  >  Physique  >  Thermodynamique, dynamique des fluides et physique statistique  >  Belgique

Sélecionner un pays
1
Course — Hands on Machine Learning for Fluid Dynamics 2024
27 mai 2024 - 31 mai 2024 • Sint-Genesius-Rode (near Brussels), Belgique
Organisateur:
von Karman Institute for Fluid Dynamics
Résumé:
This course gives an overview and practical hands-on experience in integrating machine learning in fluid dynamics. The course originated as a compressed version of the course Machine Learning for Fluid Dynamics, given at the Research Master program at the von Karman Institute. After a brief review of the machine learning landscape, we show how to frame problems in fluid mechanics as machine learning problems, and we explore challenges and opportunities. Attendees will be guided through a series of tutorial sessions in Python and will tackle several relevant applications: aeroacoustics' noise prediction, turbulence modelling, reduced-order modelling and forecasting, meshless integration of (partial) differential equations, super-resolution and flow control.
Identifiant de l'évènement:
1572733
2
Introduction to Quantum Computing in Fluid Dynamics
08 jul 2024 - 12 jul 2024 • Sint-Genesius-Rode (near Brussels) - hybrid, Belgique
Organisateur:
This lecture series is organized by the von Karman institute for Fluid Dynamics with the financial support of the NATO Science & Technology Organization.
Résumé:
This lecture series is suitable for individuals with a background in fluid dynamics and an interest in learning about the potential of quantum computing in this field.
Identifiant de l'évènement:
1614656
3
Course — Multidisciplinary Design Optimization
09 sep 2024 - 13 sep 2024 • Sint-Genesius-Rode (near Brussels) - hybrid, Belgique
Organisateur:
von Karman Institute for Fluid Dynamics
Résumé:
Innovative optimization and design techniques for modern aircraft (manned or UAV/UCAV) and engine systems aiming at maximum performance in a multidisciplinary context (aerodynamic efficiency, safety, drag, losses, weight, strength, heat fluxes, emission, noise, …), are now rapidly moving from research labs to industrial real and virtual platforms. To reach concurrently this level of excellence, emergent optimization methodologies require more and more robust and efficient associated software for a daily use in industrial collaborative design environments. This course intends to provide the basic concepts and tools behind this technology, both in single discipline (single point or multi point design) and multidisciplinary (fluid-structure interaction, fluid-acoustics, conjugate heat transfer, …) context. Subjects which will be treated in detail include: gradient based and steepest descent methods, adjoint methods, one shot or goal oriented methods, evolutionary/differential evolution algorithms on parallel environments, game strategies like Pareto Fronts and Nash Equilibrium, parameterization, surrogate and reduced-order modeling (Radial Basis functions, Artificial Neural Networks, Kriging …), multifidelity modeling approaches, robust design, … The content of this Course is oriented towards junior and experienced engineers and researchers involved in the field of multi disciplinary design and looking for innovative numerical solutions - or set of solutions- for complex multi criteria optimization problems.
Identifiant de l'évènement:
1572710


Conference-Service.com met à la disposition de ses visiteurs des listes de conférences et réunions dans le domaine scientifique. Ces listes sont publiées pour le bénéfice des personnes qui cherchent une conférence, mais aussi, bien sûr, pour celui des organisateurs. Noter que, malgré tout le soin que nous apportons à la vérification des données entrées dans nos listes, nous ne pouvons accepter de responsabilité en ce qui concerne leur exactitude ou étendue. Pensez donc à vérifier les informations présentées avec les organisateurs de la conférence ou de la réunion avant de vous engager à y participer!

Y'a pas de suivi | Y'a pas de pop-ups | Y'a pas d'animations
Dernière mise à jour: 8 avril 2024