25 results on '"Francisco Chinesta"'
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2. Resilience-based post disaster recovery optimization for infrastructure system via Deep Reinforcement Learning.
3. FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design.
4. A reduced simulation applied to viscoelastic fatigue of polymers using a time multi-scale approach based on Partition of Unity method.
5. Single Atom Convolutional Matching Pursuit: Theoretical Framework and Application to Lamb Waves based Structural Health Monitoring.
6. Graph neural networks informed locally by thermodynamics.
7. Rank Reduction Autoencoders - Enhancing interpolation on nonlinear manifolds.
8. Modular parametric PGD enabling online solution of partial differential equations.
9. A comparison of Single- and Double-generator formalisms for Thermodynamics-Informed Neural Networks.
10. Thermodynamics-informed super-resolution of scarce temporal dynamics data.
11. On the data-driven description of lattice materials mechanics.
12. A time multiscale decomposition in cyclic elasto-plasticity.
13. A time multiscale based data-driven approach in cyclic elasto-plasticity.
14. Thermodynamics of learning physical phenomena.
15. Thermodynamics-informed neural networks for physically realistic mixed reality.
16. Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems.
17. Physics-informed Reinforcement Learning for Perception and Reasoning about Fluids.
18. Thermodynamics-informed graph neural networks.
19. Learning stable reduced-order models for hybrid twins.
20. PGD-based advanced nonlinear multiparametric regressions for constructing metamodels at the scarce-data limit.
21. Physics perception in sloshing scenes with guaranteed thermodynamic consistency.
22. Monitoring weeder robots and anticipating their functioning by using advanced topological data analysis.
23. MORPH-DSLAM: Model Order Reduction for PHysics-based Deformable SLAM.
24. Structure-preserving neural networks.
25. Deep learning of thermodynamics-aware reduced-order models from data.
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