NVAITC Webinar Series on AI Applications in Computational Sciences
NVIDIA AI Technology Center Finland in collaboration with FCAI and CSC are pleased to announce a webinar series focusing on AI applications in computational sciences, with a goal of bringing together AI researchers and researchers in other fields. Each webinar will highlight a different scientific field and they are given by domain-specific experts who are using AI as part of their numerical simulation workflows. The webinars will be running from the beginning of March approximately every three weeks as part of the AI Across Fields Forum.
Session 2 - AI in Computational Fluid Dynamics
Assoc. Prof. Ricardo Vinuesa (KTH Royal Institute of Technology)
6 May 2021, 11:00
Abstract: The advent of new powerful deep neural networks (DNNs) has fostered their application in a wide range of research areas, including more recently in fluid mechanics. In this presentation, we will cover some of the fundamentals of deep learning applied to computational fluid dynamics (CFD). Furthermore, we explore the capabilities of DNNs to perform two types of predictions in turbulent flows: first, we employ recurrent neural networks (RNNs) to perform temporal predictions of a low-order model of the near-wall cycle of turbulence. Our results indicate that the RNNs are indeed able to successfully reproduce the dynamics of the reference database. Second, we will use convolutional neural networks (CNNs) for non-intrusive sensing, i.e. to predict the flow in a turbulent open channel based on quantities measured at the wall. We show that it is possible to obtain very good flow predictions, outperforming traditional linear models, and we showcase the potential of transfer learning between friction Reynolds numbers of 180 and 550. These nonintrusive sensing models will play an important role in applications related to closed-loop control of wall-bounded turbulence.
Bio: Dr. Ricardo Vinuesa is an Associate Professor at the Department of Engineering Mechanics, at KTH Royal Institute of Technology in Stockholm. He received his PhD in Mechanical and Aerospace Engineering from the Illinois Institute of Technology in Chicago. His research combines numerical simulations and data-driven methods to understand and model complex wall-bounded turbulent flows, such as the boundary layers developing around wings, obstacles, or the flow through ducted geometries. Dr. Vinuesa’s research is funded by the Swedish Research Council (VR) and the Swedish e-Science Research Centre (SeRC). He has also received the Göran Gustafsson Award for Young Researchers
NVIDIA AI Technology Center (NVAITC) is a joint research center of the Finnish Center for Artificial Intelligence FCAI, NVIDIA, and the Finnish IT Centre for Science CSC. NVAITC accelerates research, education and adoption of artificial intelligence in Finland.