Post-doctoral researcher in applied mathematics and scientific computing.

Research interests

My field of research is scientific computing, applied mainly to computational fluid dynamics for multiphase flows and free-surface flows.

I’m currently working at the use of machine learning for the design of numerical schemes for PDEs. In particular, I’m working on the use of neural networks as volume-of-fluid schemes for the Finite Volume numerical simulation of multiphase flows. For this purpose, I’m investigating:

Previously, I’ve worked on the numerical simulation of floating bodies (and in particular wave energy converters) using linear potential flow models solved with the boundary elements method (BEM). (Animation on the right: linear response of a floating body and wave diffraction.) I have released a full rewrite of the Nemoh solver in Python with more documentation, better performance and a more powerful user interface:

Before that, I have worked on the numerical simulation of wave impacts with phase change using finite volume schemes for conservative and non-conservative hyperbolic problems. This work was applied to the study of sloshing in floating LNG tanks.

Publications and talks

Journal articles

2021, Extension of 2-fluid VOF methods to N fluids and application to machine learning VOF schemes
Matthieu Ancellin, Bruno Després and Stéphane Jaouen
In preparation

2021, Accuracy and stability of machine learning VOF schemes
Matthieu Ancellin, Bruno Després and Stéphane Jaouen
In preparation

2021, Hierarchical matrices for linear potential flow simulations
Matthieu Ancellin and Frédéric Dias
In preparation

2020, A functional equation with polynomial solutions and application to Neural Networks
Bruno Després and Matthieu Ancellin
Comptes Rendus. Mathématique, 358(9-10)::1059–1072
DOI: 10.5802/crmath.124Open Access logo Paper

2020, Far field maximal power absorption of a bulging cylindrical wave energy converter
Matthieu Ancellin, Marlène Dong, Philippe Jean and Frédéric Dias
Energies, 13(20)::5499
DOI: 10.3390/en13205499Open Access logo Paper

2020, On the liquid-vapor phase-change interface conditions for numerical simulation of violent separated flows
Matthieu Ancellin, Laurent Brosset and Jean-Michel Ghidaglia
Fluid Dynamics and Materials Processing (Special issue on CFD Modeling and Multiphase Flows), 16(2)::359–381
DOI: 10.32604/fdmp.2020.08642Open Access logo Paper

2019, Numerical simulation of wave impacts with interfacial phase change: An interface reconstruction scheme
Matthieu Ancellin, Laurent Brosset and Jean-Michel Ghidaglia
European Journal of Mechanics - B/Fluids, 76::352–364
DOI: 10.1016/j.euromechflu.2019.03.008Accepted manuscript

2018, Numerical simulation of wave impacts with interfacial phase change: An isothermal averaged model
Matthieu Ancellin, Laurent Brosset and Jean-Michel Ghidaglia
European Journal of Mechanics - B/Fluids, 72::631–644
DOI: 10.1016/j.euromechflu.2018.08.001Accepted manuscript

Software

2019, Capytaine: a Python-based linear potential flow solver
Matthieu Ancellin and Frédéric Dias
Journal of Open Source Software, 4(36)::1341
DOI: 10.21105/joss.01341Open Access logo PaperSoftware source codeSoftware documentation

Conference proceedings

2021, Accuracy of neural networks for surrogate modelling of the sag of hanging cables
Matthieu Ancellin and Vincent Laurent
in Proceedings of WCCM-ECCOMAS 2020
DOI: 10.23967/wccm-eccomas.2020.047Open Access logo Paper

2018, Far field maximal power absorption of a bulging cylindrical wave energy converter: preliminary numerical results
Matthieu Ancellin, Aurélien Babarit, Philippe Jean and Frédéric Dias
in Actes des Journées de l'Hydrodynamique 2018
Open Access logo PaperSlides

2018, Using the floating body symmetries to speed up the numerical computation of hydrodynamics coefficients with Nemoh
Matthieu Ancellin and Frédéric Dias
in ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering (OMAE2018), V009T13A031
DOI: 10.1115/OMAE2018-77924

2018, Numerical study of phase change influence on wave impact loads in LNG tanks on floating structures
Matthieu Ancellin, Laurent Brosset and Jean-Michel Ghidaglia
in ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering (OMAE2018), V009T13A026
DOI: 10.1115/OMAE2018-78643

2018, A hyperbolic model of nonequilibrium phase change at a sharp liquid–vapor interface
Matthieu Ancellin, Laurent Brosset and Jean-Michel Ghidaglia
in Theory, Numerics and Applications of Hyperbolic Problems I (Hyp2016), 59–69
DOI: 10.1007/978-3-319-91545-6_5

2016, Preliminary numerical results on the influence of phase change on wave impact loads
Matthieu Ancellin, Laurent Brosset and Jean-Michel Ghidaglia
in Proc. 26th Int. Offshore and Polar Eng. Conf. (ISOPE 2016), 3::886–893

2012, Influence of phase transition on sloshing impact pressures described by a generalized Bagnold's model
Matthieu Ancellin, Laurent Brosset and Jean-Michel Ghidaglia
in Proc. 22nd Int. Offshore and Polar Eng. Conf. (ISOPE 2012), 3::300–310

Some other recent talks

2021-04-13, Neural networks as volume-of-fluid schemes for multiphase flows
in Séminaire de l'IRMA, Université de Strasbourg
Slides

2021-03-23, Neural networks as volume-of-fluid schemes for multiphase flows
in Groupe de travail CEA-ATOS

2021-01, Accuracy of neural networks for surrogate modelling of the sag of hanging cables
in WCCM ECCOMAS 2020
Online recording

2019, Linear potential flow simulation of wave energy converters with an open source BEM solver
in emrsim2019 : Simulation et Optimisation pour les Énergies Marines Renouvelables, Roscoff, 2nd-4th July 2019

2019, Far field maximal power absorption of a bulging cylindrical wave energy converter
in Hywec 2: the Hydrodynamics of Wave Energy Converters, Université de Bordeaux, 18-20th June 2019
Slides

2019, On the phase-change interface conditions for violent separated two-phase flows
in IUTAM Symposium on computational modelling of instabilities and turbulence in separated two-phase flows, University College Dublin, 10-12th June 2019

2019, Optimization of a hinge-barge wave energy converter in the BenchWEC project
with LiGuo Wang and Brian Flannery
in 10th Marine Renewables Emerging Technologies Industry Forum, Dublin, 1st February 2019

Previous experiences

2019 — 2021
Post doctoral researcher, CEA and École Normale Supérieure Paris-Saclay, France.
Applications of machine learning to finite volume schemes for multiphase flows.
2017 — 2019
Post doctoral researcher, MaREI and University College Dublin, Ireland.
Linear potential flow simulations of wave energy converters.
2014 — 2017
PhD in applied mathematics, Gaztransport & Technigaz and École Normale Supérieure Paris-Saclay, France.
Sur la modélisation physique et numérique du changement de phase interfacial lors d’impacts de vagues,
Mémoire (en français). Slides of the defense (in English).
2011 — 2013
Master in applied mathematics, Technical University of Vienna, Austria.
Master thesis: On the regularity of the linear Wigner-Fokker-Planck equation (pdf).
2009 — 2011
Engineering graduate student, École Centrale Paris, France.
2009 — 2010
Bachelor in theoretical physics, Université Paris-Sud 11, Orsay, France.

matthieu.ancellin à ens-paris-saclay dơt fr

ORCID iD iconorcid.org/0000-0002-0316-3230