Thibault Faney

Research Scientist

Hey, I’m Thibault !

I am a research scientist in the Applied Mathematics Department at IFP Energies Nouvelles. My research interests include scientific machine learning, numerical simulations, and mathematical modeling.

📚 My Research

I currently lead the AÇAI (Acceleration of Computations through Artificial Intelligence) project, which aims to develop hybrid AI and numerical methods for computational chemistry, molecular dynamics, computational fluid dynamics and flow in porous media.

Featured Publications

Recent Publications

Antoine Lechevallier, Sylvain Desroziers, Thibault Faney, Eric Flauraud, Frédéric Nataf (2025). Hybrid Newton method for the acceleration of well event handling in the simulation of CO2 storage using supervised learning. Computers & Geosciences.

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Maxime Jonval, Ibtihel Ben Gharbia, Clément Cancès, Thibault Faney, Quang-Huy Tran (2025). Parametrization and Cartesian representation techniques for robust resolution of chemical equilibria. Journal of Computational Physics.

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Tamon Nakano, Michele-Alessandro Bucci, Jean-Marc Gratien, Thibault Faney (2025). Machine Learning Model for Gas–Liquid Interface Reconstruction in CFD Numerical Simulations. Fluids.

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Matthieu Nastorg, Michele-Alessandro Bucci, Thibault Faney, Jean-Marc Gratien, Guillaume Charpiat, Marc Schoenauer (2024). An implicit GNN solver for Poisson-like problems. Computers & Mathematics with Applications.

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Jingang Qu, Soleiman Yousef, Thibault Faney, Jean-Charles De Hemptinne, Patrick Gallinari (2024). NNEoS : Neural network-based thermodynamically consistent equation of state for fast and accurate flash calculations. Applied Energy.

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