output
20092025
most citedThermodynamics-based Artificial Neural Networks for constitutive modeling

421 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2025Show all

4 papers · 1 filter

math.NA2025

Data-driven material identification in micromorphic continua

Jacinto Ulloa, Laurent Stainier

We introduce a data-driven framework for identifying material behavior from full-field kinematics and external force measurements in generalized (micromorphic) continua. The aim is…

physics.flu-dyn2025

Assessment of Hybrid RANS-LES and WALE Formulations for Wake and Resistance Prediction of the BB2 Submarine

Noh Zainal Abidin, Frederic Grondin, Pol Muller +1

Submarine hydrodynamics presents unique challenges in accurately predicting flow separation, wake structure, and resistance due to complex geometry and turbulent behaviour at high…

cs.LG2025

Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks

Mouad Elaarabi, Domenico Borzacchiello, Philippe Le Bot +2

In this work, we explore the integration of Sequence Encoding for Online Parameter Identification with Physics-Informed Neural Networks to create a model that, once trained, can be…

cs.LG2025★ 4 cited

Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks

Mouad Elaarabi, Domenico Borzacchiello, Yves Le Guennec +2

The promising outcomes of dynamical system identification techniques, such as SINDy [Brunton et al. 2016], highlight their advantages in providing qualitative interpretability and…