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.

collaborating institutions
Showing 2025 · cs.LGShow all

2 papers · 2 filters

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…