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CFDML2021: Second International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics and Solid Mechanics Simulations and Analysis

Event Type
NCSA, International Supercomputing Conference High Performance 2021
wifi event
Jul 2, 2021   7:00 - 11:00 am  

The combination of computational fluid dynamics (CFD) with machine learning (ML) is a recently emerging research direction with the potential to enable the solution of so far unsolved problems in many application domains. Machine learning is already applied to a number of problems in CFD, such as the identification and extraction of hidden features in large-scale flow computations, finding undetected correlations between dynamical features of the flow, and generating synthetic CFD datasets through high-fidelity simulations. These approaches are forming a paradigm shift to change the focus of CFD from time-consuming feature detection to in-depth examinations of such features, and enabling deeper insight into the physics involved in complex natural processes.

The workshop is designed to stimulate this research by providing a venue to exchange new ideas and discuss challenges and opportunities as well as expose this newly emerging field to a broader research community. It brings together researchers and industrial practitioners working on any aspects of applying ML to the CFD and related domains, in order to provide a venue for discussion, knowledge transfer, and collaboration among the research community.

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