First SPARCL Workshop

SPARCL (Structure-Preserving Approach for Reduced order models of Conservation Laws) is a projet funded by the ANR JCJC programme. It started in march 2025.

The workshop focuses on recent advances in reduced order models for PDEs and in particular structure preserving methods for hyperbolic conservation laws. Related topics, such as scientific machine learning, surrogate models and data-driven methods are also welcome.

Venue

The workshop will take place at the Conservatoire National des Arts et Métiers, in the lecture hall Amphithéâtre Gaston Planté which is situated at 2, rue Conté, access 35, first floor (see campus map below).

The location is easily reachable by public transport: metro line 3 and 11 (stop Arts et Métiers) or metro line 4 (stop Réaumur Sébastopol).

For security reasons, bags may be checked at the entrance. No badge is required to enter the building.

Programme

	Wednesday	Thursday	Friday
9:00 - 9:20	Welcoming
9:20 - 10:00	Alessia Del Grosso	Damiano Lombardi	Gianluigi Rozza
10:00 - 10:40	Federico Pichi	M. Giuliano Carlino	Kashish Taneja
10:40 - 11:10		Coffee break
11:10 - 11:50	Victor Michel-Dansac	Giulia Sambataro	Irene Gómez-Bueno
11:50 - 12:30	Maria Strazzullo	Giorgio Musso	Anna Ivagnes
12:30 - 14:00		Lunch
14:00 - 14:40	Virginie Ehrlacher	Luca Magri	Davide Torlo
14:40 - 15:20	Christophe Hoareau	Azzeddine Tiba	Simone Camarri
15:20 - 15:50		Coffee break
15:50 - 16:30	Museum visit	Emmanuel Franck
16:30 - 17:10		Aymane Lahgazi
20:00		Social dinner

Alessia Del Grosso: Collocation-based model order reduction: analysis and applications.
Irene Gómez-Bueno: Well-balanced POD-PID-DEIM reduced-order models for nonlinear parametric hyperbolic problems.
Christophe Hoareau: Projection-based reduced order model of linear sloshing with geometric parameters using isogeometric analysis.
Anna Ivagnes: A new data-driven energy-stable Evolve-Filter-Relax model for turbulent flow simulation.
Aymane Lahgazi: Uncertainty-Aware and parametrized reduced-order model constructed from sparse observations.
Damiano Lombardi: Conformal variational structure-preserving discretisations: a basis for structure-preserving ROMs.
Luca Magri: Quantized-local reduced order models (ql-ROMs) for turbulent and extreme flows.
Victor Michel-Dansac: Enriching continuous Lagrange finite element approximation spaces using neural networks.
Federico Pichi: Interpretable latent dynamics via graph convolutional networks.
Davide Torlo: Calibration-Based Model Order Reduction for Hyperbolic Problems with Self-Similar Travelling Discontinuities.