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model is generally built adaptively by an active learning methodology, from simulations associated with an initial design of limited size. This design is then enriched using criteria adapted
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simulations, which can represent significant computational time. To address this, we plan to introduce deep learning algorithms to develop accelerated models for determining pollutant concentrations in
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crucial for research in several scientific fields, from Computational Fluid Dynamics (CFD) for aeronautics design to Darcy flow in porous media for CO2 storage and geothermal energy. The performance
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of alternative renewable resources. IFPEN's originality and strength lie in its ability to ensure continuity between fundamental research, applied research and innovation. IFPEN develops technological solutions
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Computing Specific Requirements Programming languages: C++, Python... LanguagesENGLISHLevelExcellent Additional Information Benefits IFP Energies nouvelles is a French public-sector research, innovation and