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David Ryckelynck
David Ryckelynck, Full Professor at Mines Paris PSL University
156
Documents
Identifiants chercheurs
- david-ryckelynck
- 0000-0003-3268-4892
- IdRef : 057601917
Site web
- https://scholar.google.com/citations?user=t7-nU9YAAAAJ&hl=fr&authuser=2
Présentation
**Fields of interest**
Scientific Machine Learning; Manifold learning in engineering; Model order reduction; Image-based digital twins; Patient specific modeling for predictive surgery; Shape learning; Anomaly detection; Physically guided machine learning; CNN and Graph neural networks
**Education**
Doctor of Science (DSc), University of Paris VI, Prof. E. Arlacon, Prof. F. Chinesta, Prof. P. Ladevèze, Prof. D. Dureissex (2006)
PhD in Mechanics, Ecole Normale Supérieure de Cachan, France, Prof. J.-P. Pelle, Prof. G. de Saxcé (1998)
Master of science in computational mechanics, Ecole Normale Supérieure de Cachan, France (1992)
Ecole Normale Supérieure de Cachan (rank 5th/300) (1989)
**Professional Experience**
12/2013-present Full Professor, Mines Paris PSL University, Institut Mines Télécom
12/2007-11/2013 Maître de Recherche, Mines Paristech
10/2004-12/2004 Assistant-professor at the Department of Structural Mechanics of ETSII Universidad Politécnica de Madrid
09/1998-11/2007 Assistant professor, Arts et Métier Paristech
**Professional Service**
Head of a minor on Data Science for Computational Engineering at Mines ParisTech, option Ingénierie Digitale des Systèmes Complexes (2017-present)
Contribution to DATA program of PSL: Machine Learning and AI for Sciences (2022-present)
Head of PhD programme MINDS, "Contrats doctoraux en Intelligence Artificielle - Etablissement" in Artificial Intelligence, funded by ANR-French Gouvernment Agnecy (2020-2024).
Editorial board member of Mathematical and Computational Applications journal, <https://www.mdpi.com/journal/mca/editors> .
Head of the research team CoCaS (Computational Mechanics for Structures) in Centre des Matériaux (2011-2015).
Head of the PhD programme in mechanics at Mines ParisTech from (2009-2013).
Member of the Scientific Committee of Computational Methods for Coupled Problems, Prof. M. Papadrakakis , Prof. E Oñate and Prof. B. Schrefler, (2004-present).
Member of the Scientific Committee of the international conferences ESAFORM (2007-2009).
Board member of CSMA (French Computational Mechanic Association) (2011-2015).
Member of MECAMAT (French group of Mechanics of Materials) (2017-present).
Scientific expert on computational mechanics at IRT SystemX (2014).
**Lectures at Mines ParisTech, Institut Mines Télécom**
PSL Intesive week, Computer Vision and Time Series for Physics and Engineering (2022), DATA program of PSL, in col. with A. Allauzen.
Minor, Option Ingénierie Digitale des systèmes complexes, 200h, in col. with Prof. Elie Hachem, in French (new lecture proposed in 2018)
Major, StatNum, Numerical statistics, (since 2018), Ecole des Ponts et Chaussées, Paris, in col. with V. Lefieux.
Minor, Finite element method, 30h, enseignement specialisé, in French (2008-present).
Major, Mechanics of solid materials, 30h, in French (2011-2016),
Métiers de l’Ingénieur Généraliste (MIG), on electric vehicles, in French (2012),
International lecture on Model order reduction, 30h, in English (2013-2017).
**Invited Lectures** (Last Five Years):
Plenary lecture, Manifold Learning in Mechanics of Materials, EuroMech Colloquium 642, Rome 2024
Plenary lecture, Manifold Learning for Fast Image-Based Modeling in Mechanics of Materials, CMCS ECCOMAS, Eindhoven 2023
Plenary lecture, Manifold Learning in Mechanics of Materials, CMDS14, Paris, 2023
Geen AI, EELISA FAU Erlangen Nürnberg, Dec. 2022
Plenary lecture at Congrès Français de Mécanique, Nantes, 2022
Plenary lecture at Data Analytics & AI IMT 2020 <https://youtu.be/CHuDHu3Yq-M>
Plenary lecture at CMCS 2019,
ECCOMAS, Glasgow, 2019
Invited lecture, Artificial Intelligence, 2019.
Plenary lecture at 7th GACM Colloquium on Computational Mechanics in Stuttgart 2017.
Invited lecture at Centrale Supélec 2016.
**Background** : David Ryckelynck is working on model-based/physics-based engineering assisted by machine learning. He did seminal works on hyper-reduction methods, also termed hyperreduction, in the field of applied mathematics and computational mechanics. This method couples machine learning and projection-based model order reduction. Without counting for self citations, hyper-reduction has been cited 544 times in peer reviewed papers, according to Web of Science in 2019. Hyper-reduction methods can be seen as an extension of non supervised machine learning for dimension reduction to the field of model order reduction for the approximate solution of partial differential equations. He also did seminal works on “a priori model reduction” with 227 citations in peer reviewed paper without counting self citations in 2019. He has been the supervisor of more than 25 PhD theses in computational mechanics. He has supervised Nissrine Hakkari and Fabien Casenave for their degree of Doctor of Science (Habilitation à diriger des recherches). He was the head of a research team involving 12 permanent researchers at Mines ParisTech, from 2011 to 2015. He is the head of a new lecture on Ingenierie Digitale Des Systemes Complexes (Data Science for Computational Engineering) at Mines Paris PSL University. This lecture has been created by Pr. David Ryckelynck and Pr. Elie Hachem in 2017. In this lecture, a team of 10 lecturers are teaching to students of Mines Paris the way that simulation data and experimental data can be used in machine learning. We focus our attention to hybrid approaches that combines machine learning and usual modeling methods in engineering. His main topic of research is now image-based digital twins via machine learning, including dimensionality reduction for both images and simulation data. He is developping new data augmentation methods for engineering applications.
**Awards**
Prix de thèse Maths Entreprises 2022 for Thomas Daniel (PhD 24th september 2019 Mines Paris PSL University) from Agence Maths Entreprises (AMIES), France.
**Best papers**
A priori hyperreduction method: an adaptive approach, Ryckelynck, D, JOURNAL OF COMPUTATIONAL PHYSICS Volume: 202 Issue: 1 Pages: 346-366 Published: JAN 1 (2005). [⟨10.1016/j.jcp.2004.07.015⟩](https://dx.doi.org/10.1016/j.jcp.2004.07.015). [⟨hal-00021102⟩](/hal-00021102)
Hyper-reduction of mechanical models in involving internal variables. David Ryckelynck. *International Journal for Numerical Methods in Engineering*, Wiley, 2009, 77, pp.75-89. [⟨10.1002/nme.2406⟩](https://dx.doi.org/10.1002/nme.2406). [⟨hal-00359157⟩](/hal-00359157)
On the "A Priori" Model Reduction: Overview and Recent Developments. David Ryckelynck, Francisco Chinesta, Elías Cueto, Amine Ammar. *Archives of Computational Methods in Engineering*, Springer Verlag, 2006, 13 (1), pp.91-128. [⟨10.1007/BF02905932⟩](https://dx.doi.org/10.1007/BF02905932). [⟨hal-01007164⟩](/hal-01007164)
On the Reduction of Kinetic Theory Models Related to Finitely Extensible Dumbbells. Amine Ammar, David Ryckelynck, Francisco Chinesta, Roland Keunings. *Journal of Non-Newtonian Fluid Mechanics*, Elsevier, 2006, 134 (1-3), pp.136-147. [⟨10.1016/j.jnnfm.2006.01.007⟩](https://dx.doi.org/10.1016/j.jnnfm.2006.01.007). [⟨hal-01007150⟩](/hal-01007150)
A new extension of the natural element method for non-convex and discontinuous problems: the constrained natural element method (C-NEM). Julien Yvonnet, David Ryckelynck, Philippe Lorong, Francisco Chinesta. *International Journal for Numerical Methods in Engineering*, Wiley, 2004, 60 (8), pp.1451-1474. [⟨10.1002/nme.1016⟩](https://dx.doi.org/10.1002/nme.1016). [⟨hal-01508695⟩](/hal-01508695)
Model order reduction assisted by deep neural networks (ROM-net), <a name="scopus-author-name-link__author-name-lin"></a>Daniel, T., Casenave, F., Akkari, N., Ryckelynck, D., Advanced Modeling and Simulation in Engineering Sciences, 2020, 7(1), 16, [⟨10.1186/s40323-020-00153-6⟩](https://dx.doi.org/10.1186/s40323-020-00153-6). [⟨hal-02539647⟩](/hal-02539647)
**Patents**:
Développement d’une méthodologie de morphing de maillage entre pièce CAO et pièce réelle (Safran-Mines ParisTech PSL) B-025180FR01 -FR 2112804 , Date 08/2023.
Méthode de détermination des efforts exercées sur une zone d’intérêt d’une pièce mécanique d’aéronef à partir d'un modèle éléments-finis (Safran-Mines ParisTech PSL) B-025813FR01, Date 12/2022.
Data Augmentation method for stress predictions using deep classifiers (Safran-Mines ParisTech PSL) \[BVT 2013318, Date 12/2020\]
Data Selection for stress predictions using deep classifiers (Safran-Mines ParisTech PSL) \[BVT 2013320, Date 12/2020\]
Model selection for turbine blades using deep learning (Safran-Mines ParisTech PSL) \[BVT 2102262, Date 12/2020\]
Patent relating to the CPTh substrate has been registered by Griset S.A, LNE and Armines at the Institut National de la Propriété Industrielle (inpi) \[Application No.: F0956865, Publication No.: 2951020, Date of publication: April 8, 2011\].
**Supervisor of 30 PhD for:**
Pierre Belamri, Germain Vu, Amélia Ferhat, Matteo Bastico, Daria Mesbah, Simon Le Berre, Axel Aublet, Hamza Boukraichi, Pablo Alvarez Pereira, Hugo Launay, Thomas Daniel, Youssef Hammadi, Harris Farooq, Laurent Lacourt, William Hilth, Jules Fauque, Tuan Dinh Trong, Clément Olivier, Yang Zhang, Samuel Jules, Noémie Rakotomalala, Mélanie Leroy, Antoine Andrieu, Bahram Sarbandi, Sophie Cartel, Laëtitia Petroni, Abderrahmen Kaabi, Florence Vincent, Laurent Vanoverberghe, Djamel Missoum Benziane.
**Supervisor of 3 Doctors of Science (Habilitation à diriger des recherche) for:**
Fabien Casenave, Nissrine Akkari, Cédric Gourdin
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Macroscopic thermomechanical modeling of DED additive manufacturing: coupling Inherent strain rate method and POD-Galerkin-based model reductionSim-Am 2023, Jul 2023, Munich (Allemagne), Germany
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A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision TransformersInternational Conference on Computer Vision Workshops (ICCVW) 2023, Oct 2023, Paris, France. pp.4128-4138, ⟨10.1109/ICCVW60793.2023.00446⟩
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Thermomechanical modeling of the Directed Energy Deposition (DED) additive manufacturing process: coupling the Inherent strain rate and POD-based model reduction.MORTech 2023 – 6th International Workshop on Model Reduction Techniques, Nov 2023, Paris-Saclay, France
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Hyper-réduction d'ordre de modèle pour la mécanique du contact traité par multiplicateurs de Lagrange15e colloque national en calcul des structures, Université Polytechnique Hauts-de-France [UPHF], May 2022, 83400 Hyères-les-Palmiers, France
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Jumeaux numériques et réduction de modèle d'éprouvettes de fatigue en superalliage monocristallin base Nickel15ème colloque national en calcul des structures, Université Polytechnique Hauts-de-France [UPHF], May 2022, 83400 Hyères-les-Palmiers, France
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Deep Convolutional Generative Adversarial Networks Applied to 2D Incompressible and Unsteady Fluid FlowsComputing Conference 2020, Jul 2020, Virtual, United States. pp.264-276, ⟨10.1007/978-3-030-52246-9_18⟩
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Étude numérique de la nocivité des défauts dans les soudures14e Colloque National en Calcul des Structures, CSMA, May 2019, Presqu’île de Giens, France
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Étude numérique de la nocivité des défauts dans les souduresAUSSOIS-2018 Matériaux numériques : Microstructures et comportements thermomécaniques, MECAMAT, Jan 2018, Aussois, France. 5 p
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Étude de la nocivité des défauts dans les soudures et les pièces obtenues par fabrication additiveColloque MECAMAT Fatigue des Structures et des Matériaux, Jan 2017, Aussois, France. 4 p
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Modèle hyper-réduit directionnel pour la prévision simplifiée des contraintes résiduelles de soudage13e colloque national en calcul des structures, Université Paris-Saclay, May 2017, Giens, Var, France
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Etablissement et calibration d'un modèle mécanique simplifié pour un sable artificiellement cimenté13e colloque national en calcul des structures, Université Paris-Saclay, May 2017, Giens, Var, France
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Méthode de décomposition tensorielle pour la calibration de lois de comportement en sciences des matériaux13e colloque national en calcul des structures, Université Paris-Saclay, May 2017, Giens, Var, France
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Caractérisation expérimentale du comportement mécanique d’un réfractaire électrofondu à très haute teneur en zirconeJournées Annuelles du Groupe Français de la Céramique, LMCPA, Mar 2016, Valenciennes, France
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Application of P.O.D. and D.E.P.O.D. model reduction methods to semi-thick sheet metal formingNUMIFORM 2016: The 12th International Conference on Numerical Methods in Industrial Forming Processes, The Minerals, Metals & Materials Society, Jul 2016, Troyes, France
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Modelling and prediction of deformation during sintering of a metal foam based SOFC (EVOLVE)SOFC-XIV: Anodes 2, Jul 2015, Glasgow, United Kingdom. ⟨10.1149/06801.2971ecst⟩
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Sur la sensibilité paramétrique de l'Hyper-réduction en Dynamique des structures12e Colloque national en calcul des structures, CSMA, May 2015, Giens, France. 4 p
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Model order reduction applied to metal forming12e Colloque national en calcul des structures, CSMA, May 2015, Giens, France
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Micro-mechanical characterization of lead-free solder joints in power electronics2014 IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm), May 2014, Orlando, United States. pp.107-111, ⟨10.1109/ITHERM.2014.6892271⟩
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Influence of P and C intergranular segregation during manufacturing and ageing on the fracture toughness of nuclear pressure vessel steels20th European conference on fracture (ECF 20), Jun 2014, Trondheim, Norway. pp.655-660, ⟨10.1016/j.mspro.2014.06.108⟩
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Preprocessing of temperature measurement by IR techniques using POD truncated basis for heat source estimationQIRT 2014, Jul 2014, Bordeaux, France. ⟨10.21611/qirt.2014.116⟩
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Vers une méthode FE2-APHRCSMA 2013 - 11ème colloque national en calcul des structures, May 2013, Giens, France. 8 p
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Implémentation de la méthode d'Hyper-Réduction de modèle dans Code Aster et analyses paramétriquesCSMA 2013 - 11ème colloque national en calcul des structures, May 2013, Giens, France. 8 p
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Estimation d'erreur d'hyperréduction de problèmes élastoviscoplastiquesCFM 2013 - 21ème Congrès Français de Mécanique, Aug 2013, Bordeaux, France
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Estimation d'erreur d'hyper-réduction de problèmes élastoviscoplastiques21ème Congrès Français de Mécanique, CFM 2013, Aug 2013, Bordeaux, France. 6 p
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Multidimensional hyper-reduction of large mechanical models involving internal variablesASME 2012 - 11th Biennial conference on engineering systems design and analysis, Jul 2012, Nantes, France. 8 p
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Désynchronisation partielle de la méthode APHR10e colloque national en calcul des structures, May 2011, Giens, France. 8 p. ; Clé USB
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Z-set/ZeBuLoN : une suite logicielle pour la mécanique des matériaux et le calcul de structures10e colloque national en calcul des structures, May 2011, Giens, France. 8 p
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Extension of Beremin model to bi-modal brittle failure20ème Congrès Français de Mécanique, CFM 2011, Aug 2011, Besançon, France. 6 p
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Architectural rules for the assembly of miniature laminated two phase components by hot pressing and by roll bondingLÖT 2010 - 9th International Conference on Brazing, High Temperature Brazing and Diffusion Bonding, Jun 2010, Aachen, Germany. pp.140-145
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Substrat architecturé pour une gestion thermique efficace dans les modules électroniques de puissanceMatériaux 2010, Oct 2010, Nantes, France. 5 p
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Anisotropic constitutive model and FE simulation of the sintering process of slip cast traditional porcelainProceedings of the 10th International Conference on Numerical Methods in Industrial Forming Processes, Jun 2010, Pohang, South Korea. pp.689-696, ⟨10.1063/1.3457622⟩
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Brasures composites architecturés sans plomb pour les modules électroniques de puissanceMatériaux 2010, Oct 2010, Nantes, France. 11 p
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Hyper reduction of finite strain elasto-plastic models12th ESAFORM Conference on Material Forming, Apr 2009, Enschede, Netherlands. pp.567-571, ⟨10.1007/s12289-009-0424-x⟩
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Modélisation algorithmique par réduction de modèle et maîtrise des événements recurrents inhérents aux problèmes d'optimisation9e Colloque national en calcul des structures, May 2009, Giens, France. pp.117-122
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Detection of deviations origins in a heat treatment process using Proper Orthogonal Decomposition (POD) basis11th ESAFORM Conference on Material Forming, Apr 2008, Lyon, France. pp.Pages 1055-1058, ⟨10.1007/s12289-008-0200-3⟩
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Micro-Macro Approach for Mechanical Problems Involving Microstructure10th. ESAFORM Conference on Material Forming, 2007, Saragosse, Spain. pp.1-4
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Anticipation of gears distortions caused by heat treatments10th ESAFORM Conference on Material Forming, Apr 2007, Zaragona, Spain. pp.1221-1226, ⟨10.1063/1.2729681⟩
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Reduced Modelling Simulation of Complex Fluid FlowsECCOMAS Thematic Conference on Computational Methods Coupled Problems in Science and Engineering, 2007, Ibiza, Spain
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On a A Priori Reduction Method for Solving Transfer EquationsInternational Conference on Computational Methods for Coupled Problems in Science and Engineering, May 2007, France. pp.n.a
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Anticipation of gears distortions caused by heat treatments11th Esaform conference on material forming, Apr 2007, Zaragoza, Spain. pp. 1221-1226
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Reduced Modelling Simulation of Complex Fluid FlowsEccomas Thematic Conference on Computational Methods Coupled Problems in Science and Engineering, 2007, Ibiza, Spain. pp.1-4
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Adaptive Model Reduction for Sensitivity Analysis6th WSEAS International Conference on Simulation, Modelling and Optimization, Sep 2006, Lisbon, Portugal
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Alleviating Mesh Constraints: Meshless Simulations and Related TopicsNew Challenges in Computational Mechanics Workshop, 2006, Cachan, France
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The Natural Element Mehod for Simulating Evolving DiscontinuitiesSymposium on Discretization Methods for Evolving Discontinuities, International Union on Theoretical and Applied Mechanics (IUTAM), 2006, Lyon, France
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Problématiques Multiphysiques - Multiéchelles – Multimodèles Rencontrées dans la Simulation des Procédés (Polymères et Métaux)Journée thématique CSMA sur la Modélisation et Simulation Numérique Multi-physiques, 2006, Ecole Centrale de Paris, France
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A New Fully Coupled Two Scale Modelling for Mechanical Problems Involving Microstructures: the 95/5 Method7th World Congress on Computational Mechanics (WCCM-VII), 2006, Los Angeles, United States. ⟨10.1016/j.cma.2006.10.013⟩
Communication dans un congrès
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Towards an Efficient Numerical Simulation in Molecular DynamicsInternational Rheology Meeting, 2005, Les Gets, France
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Hyperréduction a priori en dynamique non-linéaire à large bande7e colloque national en calcul des structures, CSMA, May 2005, Giens, France
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Towards an Integrated NEM-Model Reduction Lagrangian Strategy in Fluid-Structure InteractionRéunion CNRS-SPI GDR 2902, 2005, Nice, France. pp 39-42
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Mesh-Free Shear Bands Simulation with Strain Softening Using a Natural Neighbor Approach8th ESAFORM Conference on Material Forming, 2005, Cluj-Napoca, Romania
Communication dans un congrès
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Deterministic particle approach of Multi Bead-Spring polymer models8th ESAFORM Conference on Material Forming, 2005, Cluj-Napoca, Romania. ⟨10.3166/remn.15.481-494⟩
Communication dans un congrès
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A Priori Model Reduction Method for Dynamical Problems Involving Impact and Vibrations8th. ESAFORM Conference on Material Forming, 2005, Cluj-Napoca, Romania
Communication dans un congrès
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Model Reduction for Complex Fluids Simulation2nd Annual European Rheology Conference, 2005, Grenoble, France
Communication dans un congrès
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Appariement sans maître ni esclave7e colloque national en calculs des structures, 2005, Giens, France
Communication dans un congrès
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Modèles macroscopiques sans maillage à motifs microscopiques17e Congrès Français de Mécanique, Aug 2005, Troyes, France
Communication dans un congrès
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Improving Efficiency in Complex Flow SimulationsEuropean Materials Societies 2005 Conference - EUROMAT, 2005, Prague, Czech Republic
Communication dans un congrès
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Coupling Natural Element Methods and Model Reduction TechniquesECCOMAS Thematic Conference on Meshless Methods, 2005, Lisbonne, Portugal
Communication dans un congrès
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Nouvelles avancées dans la méthode des éléments naturels pour la simulation des procédés de mise en forme17e Congrès Français de Mécanique, Aug 2005, Troyes, France
Communication dans un congrès
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An Efficient « A Priori » Model Reduction for Boundary Element Models7th. ESAFORM Conference on Material Forming, 2004, Trondheim, Sweden. pp.796-801, ⟨10.1016/j.enganabound.2005.04.003⟩
Communication dans un congrès
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A 3D C-NEM Mesh-Free Approach for Cutting Processes7th. ESAFORM Conference on Material Forming, 2004, Trondheim, Sweden
Communication dans un congrès
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Modélisation des Ecoulements Turbulents par Systèmes Dynamiques d'Ordre Réduit. Application aux Problèmes d'Interaction Fluide/StructureJournée Interaction Fluide/Structure, 2004, Paris, France
Communication dans un congrès
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Investigations in shear band propagation using a natural neighbor meshfree approach7th. ESAFORM Conference on Material Forming, 2004, Trondheim, Norway
Communication dans un congrès
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New Capabilities of the C-NEM Meshfree Method in Forming Processes7th. ESAFORM Conference on Material Forming, 2004, Trodheim, Sweden
Communication dans un congrès
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NEM and Model Reduction: Two New and Powerful Numerical Techniques for Simulating Complex FlowsInternational Conference on Industrial Rheology, 2004, Chester, Netherlands
Communication dans un congrès
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A priori model reduction method by selecting the significant eventsFourth ESAFORM conference on material forming, 2003, Salerno, Italy
Communication dans un congrès
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The Natural Element Method in Metal Forming Simulations Involving Large StrainsFirst International Conference on Finite Element for Process Analysis, Design and Research, 2003, Luxemburg, Luxembourg
Communication dans un congrès
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Gestion d'une discontinuité fixe ou mobile par la méthode des éléments naturels contraintes (C-NEM)Journée CSMA : Nouvelles tendances dans les calculs par éléments finis, rôle du maillage et partition de l'unité, 2003, Nantes, France
Communication dans un congrès
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Réduction de modèles par sélection a priori des événements significatifs6ième colloque national en calculs des structures, 2003, Giens, France
Communication dans un congrès
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The C-NEM for Dicontinuous Natural Element Galerkin Interpolation and Moving InterfacesSecond International Workshop on Meshfree Methods for Partial Differential Equations, 2003, Bonn, Germany
Communication dans un congrès
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Recent developments in the meshless natural element method for metal forming simulations1st International Conference on Finite Element for process, 2003, Luxembourg, Luxembourg. pp.1
Communication dans un congrès
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A New Extension of the Natural Element Method for Non-Convex and Discontinuous Domains: the Constrained Natural Element Method (C-NEM)6th ESAFORM Conference on Material Forming, 2003, Salerno, Italy. pp. 627-630
Communication dans un congrès
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Thermomechanical cutting model discretisation: Eulerian or Lagrangian, mesh or meshless?5th International ESAFORM Conference on Material Forming, 2002, Krakow, Poland. pp.568-570, ⟨10.3166/ijfp.7.83-97⟩
Communication dans un congrès
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A priori model reduction method for thermo-mechanical simulationsFourth International Conference on Materials Processing Defects (MPD4), 2002, Cachan, France. pp.477-491, ⟨10.3166/ijfp.5.477-491⟩
Communication dans un congrès
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History-dependent Material and the Natural Element Meshless Method. Study of Two Approaches in Finite Transformation5th ESAFORM Conference on Material Forming, 2002, Krakow, Poland. pp. 579-582
Communication dans un congrès
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Manifold Learning, Model Reduction in EngineeringSpringer Nature Switzerland, 2024, SpringerBriefs in Computer Science, ⟨10.1007/978-3-031-52764-7⟩
Ouvrages
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Classification of defects in welded jointsManifold learning for model reduction in engineering, 2023
Chapitre d'ouvrage
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Nouvelles avancées dans les méthodes sans maillage basées sur les éléments naturels contraints pour la simulation des procédésHermès Science. La méthode des éléments finis: extensions et alternatives, Collection Mécanique et Ingénierie des Matériaux, pp.21-68, 2006
Chapitre d'ouvrage
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Treating Moving Interfaces in Thermal Models with the C-NEMMeshfree Methods for Partial Differential Equations II. Lecture Notes in Computational Science and Engineering, 43, pp.255-269, 2005, ⟨10.1007/3-540-27099-X_14⟩
Chapitre d'ouvrage
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Treating moving interfaces in thermal models with the C-NEMMichael Griebel and Marc A. Schweitzer. Notes in Computational Science and Engineering. Meshfree Methods for Partial Differential Equations II, Springer Verlag, pp.1, 2005
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On the a priori Model Reduction: Overview and Recent DevelopmentsMeshfree Methods for Partial Differential Equations II, 43, 2005, Lecture Notes in Computational Science and Engineering, ⟨10.1007/BF02905932⟩
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Matériau composite multicouche utilisé pour la fabrication de substrats de modules électroniques et procédé de fabrication correspondantFrance, N° de brevet: 2 951 020. 2009, 30 p
Brevet
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Réduction de modèle pour une mécanique partielle des champs lointains (Aussois 2018)2018
Autre publication scientifique
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