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DATAIA

ML4CFD: the team expands with two new arrivals

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ML4CFD

ML4CFD: the team expands with two new arrivals

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Matthieu Nastorg and Tamon Nakano join the ML4CFD team, the research project co-funded by DATAIA, which applies machine learning to computational fluid dynamics simulation.
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Within the scope of the collaborative project IFPEN-Inria "Machine Learning for Computational Fluid Dynamics" (ML4CFD), a PhD student and a post-doc were recruited in January 2021.

The PhD student Matthieu Nastorg will work on a thesis on "Machine learning to accelerate fluid dynamics calculations in the field of multiphase flows".

Tamon Nakano, PhD in fluid mechanics from ENSMA, and former post-doctoral student at CERFACS, will work on the theme of dynamic interface reconstruction with machine learning methods.

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The ML4CFD project
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The ML4CFD project, winner of the call for research projects DATAIA 2020, is the result of a long collaboration between the Inria team TAU and IFPEN.

This research project aims to enhance the performance of computational fluid dynamics simulations using machine learning.

These approaches might allow a more adequate adaptation of the sizes of the spatio-temporal evolution steps by taking into account the estimation of future interactions.

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