15 citations · 20 across the 13 of their papers we have counts for
4 papers · 1 filter
Interpretable learning of effective dynamics for multiscale systems
Emmanuel Menier, Sebastian Kaltenbach, Mouadh Yagoubi +2
The modeling and simulation of high-dimensional multiscale systems is a critical challenge across all areas of science and engineering. It is broadly believed that even with today'…
Hybrid data driven/thermal simulation model for comfort assessment
Romain Barbedienne, Sara Yasmine Ouerk, Mouadh Yagoubi +3
Machine learning models improve the speed and quality of physical models. However, they require a large amount of data, which is often difficult and costly to acquire. Predicting t…
Rail Crack Propagation Forecasting Using Multi-horizons RNNs
Sara Yasmine Ouerk, Olivier Vo Van, Mouadh Yagoubi
The prediction of rail crack length propagation plays a crucial role in the maintenance and safety assessment of materials and structures. Traditional methods rely on physical mode…
Meta-Learning for Airflow Simulations with Graph Neural Networks
Wenzhuo Liu, Mouadh Yagoubi, Marc Schoenauer
The field of numerical simulation is of significant importance for the design and management of real-world systems, with partial differential equations (PDEs) being a commonly used…