Séminaire - Sylvain Vallaghe : Maths-4-Innov-Action : Component-Based Reduced Order Modeling for Large-Scale Industrial Digital Twins
Épisode de Informatique et sciences numériques (2025-2026) - Yvon Maday par Collège de France · 3 mars 2026 · 44 min
Yvon Maday
Informatique et sciences numériques
Collège de France
Année 2025-2026
Sylvain Vallaghe
Principal Engineer at Akselos
Séminaire - Sylvain Vallaghe : Maths-4-Innov-Action : Component-Based Reduced Order Modeling for Large-Scale Industrial Digital Twins
Résumé
Akselos provides industrial digital twins through component-based reduced order modeling. This approach bridges the gap between traditional Finite Element Analysis (FEA) and real-time operational needs. Unlike standard FEA, which can be computationally prohibitive for entire assets, Akselos' technology allows for models with over 100 million degrees of freedom to be solved in under 10 seconds. This is achieved by decomposing large structures into components and interfaces, and by training a low-dimensional representation of the solution manifold for individual components and interfaces. The approach includes a posteriori error estimators to ensure accuracy. During operations, these estimators monitor every solve; if a new scenario causes the error to exceed a set tolerance, the system triggers automated enrichment to "learn" the new state. This integration of high-fidelity physics with rapid evaluation allows operators to incorporate sensor feeds and inspection data into a live digital twin. Consequently, companies can monitor closely their assets, ensuring safe operations with maximum output for the longest time possible.
Sylvain Vallaghe
Sylvain is in charge of core technology development at Akselos. He works towards expanding the scope of applications of Akselos' technology by developing new mathematical formulations and computational algorithms.
Sylvain completed his Master's degree in Applied Mathematics at the University of Grenoble in France in 2005. Sylvain then pursued a PhD thesis at INRIA, developing new numerical methods and algorithms applied to brain imaging techniques. After completing his PhD in 2009, Sylvain worked as a teaching and research assistant at University of Grenoble, shifting his work focus towards reduced basis methods, which led him to join Professor Patera's group at MIT in 2011. During his time at MIT, Sylvain developed new contributions directly related to Akselos technology and he joined the company in October 2013.
Autres épisodes de « Informatique et sciences numériques (2025-2026) - Yvon Maday »
- Colloque - Karen E. Willcox : Multifidelity Proper Orthogonal Decomposition 24 juin 2026
- Colloque - Tommaso Taddei : Registration in Bounded Domains for Model Reduction of Parametric Conservation Laws 24 juin 2026
- Colloque - David Ryckelynck : Self Supervised Machine Learning of ROM-nets for Mechanics of Materials 24 juin 2026
- Colloque - Élise Grosjean : A Doubly Reduced Approximation for the Solution to PDEs Based on a Domain Truncation and a Reduced Basis Method: Application to Navier-Stokes Equations 24 juin 2026
- Colloque - Kathrin Smetana : Certified Randomized Model Order Reduction Methods for High-Dimensional Approximation 24 juin 2026
- Colloque - Geneviève Dusson : Metric-Based Nonlinear Model Order Reduction with Applications to Quantum Chemistry 24 juin 2026
- Colloque - Anthony Nouy : Stable Nonlinear Manifold Approximation Using Compositional Networks 24 juin 2026
- Colloque - Ludovic Chamoin : Integrated Structural Health Monitoring with Real-time Data Assimilation and Hybrid Twins 23 juin 2026
- Colloque - Helin Gong : AI-Driven Complexity Reduction and Multi-Physics Digital Twins: From Theory to Engineering Implementation in Nuclear Reactors 23 juin 2026
- Colloque - Evie Nielen : Efficient Greedy Sampling for Model Order Reduction 23 juin 2026
- Colloque - Clémentine Prieur : Diffeomorphism-Based Feature Learning Using Poincaré Inequalities 23 juin 2026
- Colloque - Benjamin Peherstorfer : Dirac-Frenkel Dynamics with Momentum 23 juin 2026
- Colloque - Andrea Manzoni : Reduced Order Modeling and Scientific Machine Learning: Synergies and Opportunities 23 juin 2026
- Colloque - Albert Cohen : Optimal Linear and Non-Linear Dimensionality Reduction 23 juin 2026
- Colloque - Mario Ohlberger : Reduced Order Surrogate Models for PDE-Constrained Optimization and Inverse Problems 22 juin 2026
À propos du podcast
Créée en partenariat avec Inria, la chaire annuelle Informatique et sciences numériques marque une volonté commune de faire valoir l'importance de cette discipline scientifique et la nécessité de lui octroyer une place pleine et entière. Réduction de complexité pour les simulations numériques…
Informatique et sciences numériques (2025-2026) - Yvon Maday
Épisodes similaires
- 2026-04 V2 PINS.mp4 – Lille.Pod
- Episode #16 Jordan Marion - L'école d'astrologie – Pour l’Amour du Ciel
- E116 - Why You Understand French but Can't Speak It – Intermediate French Podcast - Ta vie en français
- La guillotine : un progrès social ? # Révolution française 🇫🇷 DELF A2 / B1 - French intermediate level - Compréhension orale – Escargot - News & Culture in Simple French
- André Malraux – La base
- (133) L’amour ne suffit pas ! Comment bien se disputer en couple (avec Sandy Kaufmann) – J'ai peur, donc j'y vais
Tous les épisodes de Informatique et sciences numériques (2025-2026) - Yvon Maday · Plus de podcasts Éducation