AI in Fluid Mechanics, Vestas Wind Systems A/S
Wednesday 5 October, 09:30-16:00
Artificial Intelligence is gaining popularity in many fluid mechanics related applications. For many fluid mechanical applications it's common to have huge amounts of data from both experiments or simulations. Using machine learning techniques we can process and extract useful patterns in complex data in order to simplify problems are create reduced order models. This seminar focuses on both recent advances and new applications.
Vestas Wind Systems A/S,
8220 Aarhus N
Anders Christian Olesen, Vestas Wind Systems A/S, Denmark
|10:15||Data-driven Fluid Mechanics and Machine Learning (Slides)|
Mahdi Abkar, Department of Mechanical and Production Engineering, Section of Fluid & Energy, Aarhus University
|11:30||3D deep-learning for faster product development and CFD frontloading. |
Pierre Baque, CEO, Neural concept
|12:00||Lunch break and tour|
|13:15||Modeling and controlling turbulent flows through deep learning (Slides)|
Ricardo Vinuesa, KTH Royal Institute of Technology
|14:00||DANSIS Graduate Award 2022 Ceremony and Presentation|
|15:00||How can AI support the CFD engineer? (Slides)|
Mark Farrall, Siemens Digital Industries Software
Deep Reinforcement Learning applied to simulated wind flow dataEwan Machefaux, Vestas Wind Systems A/S
Knud Erik Meyer, DANSIS chairman
Members of DANSIS can participate in the seminar free of charge. Non-members are also invited to participate at a fee of 400 DKK.
Please register for the seminar no later than Monday 3 of October at 9 am.
Register for the seminar