An Advanced System for the Simulation and Planning of Orthodontic Treatments. - Mariano Alcañiz Raya; Francisco Chinesta; Carlos Monserrat; Vicente Grau; Antonio Ramón (VBC, 1996)

An advanced system for the simulation and planning of orthodontic treatment. - Mariano Alcañiz Raya; Carlos Monserrat; Vicente Grau; Francisco Chinesta; Antonio Ramón; Salvador Albalat (Medical Image Anal., 1998)

HIPERPLAST: An HPCN simulator for reinforced thermoplastics injection processes. - Enrique Arias 001; Vicente Hernández; José E. Román; Antonio M. Vidal; R. Torres; I. Monton; Francisco Chinesta; A. Poitou; F. Meslin (PARCO, 1999)

A new approach for the real-time simulation of tissue deformations in surgery simulation. - Carlos Monserrat; Ullrich Meier; Mariano Alcañiz Raya; Francisco Chinesta; M.-Carmen Juan (Comput. Methods Programs Biomed., 2001)

A natural element updated Lagrangian strategy for free-surface fluid dynamics. - David González 002; Elías Cueto; Francisco Chinesta; Manuel Doblaré (J. Comput. Phys., 2007)

On the Application of Model Reduction Techniques to Real-Time Simulation of Non-linear tissues. - Siamak Niroomandi; Icíar Alfaro; Elías Cueto; Francisco Chinesta (ISBMS, 2008)

Real-time deformable models of non-linear tissues by model reduction techniques. - Siamak Niroomandi; Icíar Alfaro; Elías Cueto; Francisco Chinesta (Comput. Methods Programs Biomed., 2008)

Integration of gradient based and response surface methods to develop a cascade optimisation strategy for Y-shaped tube hydroforming process design. - Rosa Di Lorenzo; Giuseppe Ingarao; Francisco Chinesta (Adv. Eng. Softw., 2010)

A fully deterministic micro-macro simulation of complex flows involving reversible network fluid models. - B. Mokdad; Amine Ammar; Magdeleine Normandin; Francisco Chinesta; Jean-Robert Clermont (Math. Comput. Simul., 2010)

On the deterministic solution of multidimensional parametric models using the Proper Generalized Decomposition. - E. Pruliere; Francisco Chinesta; Amine Ammar (Math. Comput. Simul., 2010)

Towards the factory of future an integrated approach of material-processes-information-human being. - Florent Laroche; Felipe Bordeu; Alain Bernard; Francisco Chinesta (VRIC, 2012)

Accounting for large deformations in real-time simulations of soft tissues based on reduced-order models. - Siamak Niroomandi; Icíar Alfaro; Elías Cueto; Francisco Chinesta (Comput. Methods Programs Biomed., 2012)

Proper Generalized Decomposition based dynamic data driven inverse identification. - David González 002; F. Masson; F. Poulhaon; Adrien Leygue; Elías Cueto; Francisco Chinesta (Math. Comput. Simul., 2012)

Linking Discrete and Stochastic Models: The Chemical Master Equation as a Bridge between Process Hitting and Proper Generalized Decomposition. - Courtney Chancellor; Amine Ammar; Francisco Chinesta; Morgan Magnin; Olivier F. Roux (CMSB, 2013)

Towards Augmented Learning in Science and Engineering in Higher Education. - Simon Carolan; Francisco Chinesta; Christine Evain; Morgan Magnin; Guillaume Moreau (ICALT, 2013)

Kinetic Theory Microstructure Modeling in Concentrated Suspensions. - Emmanuelle Abisset-Chavanne; Rabih Mezher; Steven Le Corre; Amine Ammar; Francisco Chinesta (Entropy, 2013)

Extracting Domain Ontologies from Reference Books. - Simon Carolan; Francisco Chinesta; Christine Evain; Morgan Magnin; Guillaume Moreau (ICALT, 2014)

PGD-Based Model Reduction for Surgery Simulation: Solid Dynamics and Contact Detection. - Carlos Quesada; Icíar Alfaro; David González 002; Elías Cueto; Francisco Chinesta (ISBMS, 2014)

Separated representations of 3D elastic solutions in shell geometries. - Brice Bognet; Adrien Leygue; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2014)

Real time simulation for computational surgery: a review. - Elías Cueto; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2014)

Towards the Effective Use of Available Educational Resources: Designing Adaptive Hypermedia Environments for the Engineering Sciences. - Simon Carolan; Guillaume Moreau; Morgan Magnin; Francisco Chinesta (ICALT, 2015)

An error estimator for real-time simulators based on model order reduction. - Icíar Alfaro; David González 002; Sergio Zlotnik; Pedro Díez; Elías Cueto; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2015)

Towards a pancreatic surgery simulator based on model order reduction. - Andrés Mena; David Bel; Icíar Alfaro; David González 002; Elías Cueto; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2015)

On the multi-scale description of electrical conducting suspensions involving perfectly dispersed rods. - Marta Pérez; Emmanuelle Abisset-Chavanne; Anais Barasinski; Francisco Chinesta; Amine Ammar; Roland Keunings (Adv. Model. Simul. Eng. Sci., 2015)

Kinetic Theory Modeling and Efficient Numerical Simulation of Gene Regulatory Networks Based on Qualitative Descriptions. - Francisco Chinesta; Morgan Magnin; Olivier H. Roux; Amine Ammar; Elías Cueto (Entropy, 2015)

Poroelastic properties identification through micro indentation modeled by using the proper generalized decomposition. - Chady Ghnatios; Christian Mathis; Francisco Chinesta (ACTEA, 2016)

On the use of model order reduction for simulating automated fibre placement processes. - Nicolas Bur; Pierre Joyot; Chady Ghnatios; Pierre Villon; Elías Cueto; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2016)

Reduced order modeling for transient simulation of power systems using trajectory piece-wise linear approximation. - Muhammad Haris Malik; Domenico Borzacchiello; Francisco Chinesta; Pedro Díez (Adv. Model. Simul. Eng. Sci., 2016)

Real-time simulation techniques for augmented learning in science and engineering. - Carlos Quesada; David González 002; Icíar Alfaro; Elías Cueto; Antonio Huerta; Francisco Chinesta (Vis. Comput., 2016)

Inductive Learning from State Transitions over Continuous Domains. - Tony Ribeiro; Sophie Tourret; Maxime Folschette; Morgan Magnin; Domenico Borzacchiello; Francisco Chinesta; Olivier F. Roux; Katsumi Inoue (ILP, 2017)

A Simulation App based on reduced order modeling for manufacturing optimization of composite outlet guide vanes. - José Vicente Aguado; Domenico Borzacchiello; Chady Ghnatios; François Lebel; Ram Upadhyay; Christophe Binetruy; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2017)

Thermal Conductivity of Suspension of Aggregating Nanometric Rods. - Amine Ammar; Francisco Chinesta; Rodolphe Heyd (Entropy, 2017)

Improving the realism of mixed reality through physical simulation. - Alberto Badías; Icíar Alfaro; David González 002; Francisco Chinesta; Elías Cueto (SIGGRAPH Posters, 2018)

A Multidimensional Data-Driven Sparse Identification Technique: The Sparse Proper Generalized Decomposition. - Rubén Ibáñez; Emmanuelle Abisset-Chavanne; Amine Ammar; David González 002; Elías Cueto; Antonio Huerta; Jean-Louis Duval; Francisco Chinesta (Complex., 2018)

On the Existence of a Progressive Variational Vademecum based on the Proper Generalized Decomposition for a Class of Elliptic Parameterized Problems. - Antonio Falcó; Nicolás Montés; Francisco Chinesta; Lucia Hilario; Marta C. Mora (J. Comput. Appl. Math., 2018)

A PGD-based Method for Robot Global Path Planning: A Primer. - Nicolás Montés; Francisco Chinesta; Antonio Falcó; Marta C. Mora; Lucia Hilario; Jean-Louis Duval (ICINCO (1), 2019)

Non-intrusive proper generalized decomposition involving space and parameters: application to the mechanical modeling of 3D woven fabrics. - Angel León; Sebastien Mueller; Patrick de Luca; Rajab Said; Jean-Louis Duval; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2019)

On the coupling of local 3D solutions and global 2D shell theory in structural mechanics. - Giacomo Quaranta; Mustapha Ziane; Fatima Daim; Emmanuelle Abisset-Chavanne; Jean-Louis Duval; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2019)

A minimally-intrusive fully 3D separated plate formulation in computational structural mechanics. - Giacomo Quaranta; Mustapha Ziane; Eberhard Haug; Jean-Louis Duval; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2019)

Shape parametrization of bio-mechanical finite element models based on medical images. - Nathan Lauzeral; Domenico Borzacchiello; Michael Kugler; Daniel George; Yves Rémond; Alexandre Hostettler; Francisco Chinesta (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)

A model order reduction approach to create patient-specific mechanical models of human liver in computational medicine applications. - Nathan Lauzeral; Domenico Borzacchiello; Michael Kugler; Daniel George; Yves Rémond; Alexandre Hostettler; Francisco Chinesta (Comput. Methods Programs Biomed., 2019)

Complex Algorithms for Data-Driven Model Learning in Science and Engineering. - Francisco Javier Montáns; Francisco Chinesta; Rafael Gómez-Bombarelli; J. Nathan Kutz (Complex., 2019)

Data-Driven GENERIC Modeling of Poroviscoelastic Materials. - Chady Ghnatios; Icíar Alfaro; David González 002; Francisco Chinesta; Elías Cueto (Entropy, 2019)

Tensor Representation of Non-linear Models Using Cross Approximations. - José Vicente Aguado; Domenico Borzacchiello; Kiran S. Kollepara; Francisco Chinesta; Antonio Huerta (J. Sci. Comput., 2019)

On the Proper Generalized Decomposition applied to microwave processes involving multilayered components. - H. Tertrais; Rubén Ibáñez; Anais Barasinski; Chady Ghnatios; Francisco Chinesta (Math. Comput. Simul., 2019)

Modeling soft robotic actuators using data-driven model reduction. - Apurba Das; M. Nabi; Francisco Chinesta (MED, 2020)

Learning Physics from Data: A Thermodynamic Interpretation. - Francisco Chinesta; Elías Cueto; Miroslav Grmela; Beatriz Moya; Michal Pavelka; Martin Sípka (SPIGL, 2020)

Intelligent assistant system as a context-aware decision-making support for the workers of the future. - Farouk Belkadi; Mohamed Anis Dhuieb; José Vicente Aguado; Florent Laroche; Alain Bernard; Francisco Chinesta (Comput. Ind. Eng., 2020)

Modelling the effect of particle inertia on the orientation kinematics of fibres and spheroids immersed in a simple shear flow. - Adrien Scheuer; Guillaume Grégoire; Emmanuelle Abisset-Chavanne; Francisco Chinesta; Roland Keunings (Comput. Math. Appl., 2020)

Non-Intrusive In-Plane-Out-of-Plane Separated Representation in 3D Parametric Elastodynamics. - Claudia Germoso; Giacomo Quaranta; Jean-Louis Duval; Francisco Chinesta (Comput., 2020)

Deep learning of thermodynamics-aware reduced-order models from data. - Quercus Hernandez; Alberto Badías; David González 002; Francisco Chinesta; Elías Cueto (CoRR, 2020)

Learning the Macroscopic Flow Model of Short Fiber Suspensions from Fine-Scale Simulated Data. - Minyoung Yun; Clara Argerich Martin; Pierre Giormini; Francisco Chinesta; Suresh Advani (Entropy, 2020)

Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems. - Simona Vermiglio; Victor Champaney; Abel Sancarlos; Fatima Daim; Jean Claude Kedzia; Jean-Louis Duval; Pedro Díez; Francisco Chinesta (Sensors, 2020)

Enhanced parametric shape descriptions in PGD-based space separated representations. - Mohammad Javad Kazemzadeh-Parsi; Amine Ammar; Jean-Louis Duval; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2021)

A separated representation involving multiple time scales within the Proper Generalized Decomposition framework. - Angelo Pasquale; Amine Ammar; Antonio Falcó; Simona Perotto; Elías Cueto; Jean-Louis Duval; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2021)

PGD-based advanced nonlinear multiparametric regressions for constructing metamodels at the scarce-data limit. - Abel Sancarlos; Victor Champaney; Jean-Louis Duval; Elías Cueto; Francisco Chinesta (CoRR, 2021)

Learning stable reduced-order models for hybrid twins. - Abel Sancarlos; Morgan Cameron; Jean-Marc Le Peuvedic; Juliette Groulier; Jean-Louis Duval; Elías Cueto; Francisco Chinesta (CoRR, 2021)

Monitoring weeder robots and anticipating their functioning by using advanced topological data analysis. - Tarek Frahi; Abel Sancarlos; Matthieu Galle; Xavier Beaulieu; Anne Chambard; Antonio Falcó; Elías Cueto; Francisco Chinesta (CoRR, 2021)

Study of Concentrated Short Fiber Suspensions in Flows, Using Topological Data Analysis. - Rabih Mezher; Jack Arayro; Nicolas Hascoët; Francisco Chinesta (Entropy, 2021)

Monitoring Weeder Robots and Anticipating Their Functioning by Using Advanced Topological Data Analysis. - Tarek Frahi; Abel Sancarlos; Mathieu Galle; Xavier Beaulieu; Anne Chambard; Antonio Falcó; Elías Cueto; Francisco Chinesta (Frontiers Artif. Intell., 2021)

Learning non-Markovian physics from data. - David González 002; Francisco Chinesta; Elías Cueto (J. Comput. Phys., 2021)

Structure-preserving neural networks. - Quercus Hernandez; Alberto Badías; David González 002; Francisco Chinesta; Elías Cueto (J. Comput. Phys., 2021)

Real-Time Path Planning Based on Harmonic Functions under a Proper Generalized Decomposition-Based Framework. - Nicolás Montés; Francisco Chinesta; Marta C. Mora; Antonio Falcó; Lucia Hilario; Nuria Rosillo; Enrique Nadal (Sensors, 2021)

Empowering engineering with data, machine learning and artificial intelligence: a short introductive review. - Francisco Chinesta; Elías Cueto (Adv. Model. Simul. Eng. Sci., 2022)

Domain decomposition involving subdomain separable space representations for solving parametric problems in complex geometries. - Mohammad Javad Kazemzadeh-Parsi; Amine Ammar; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2022)

Hybrid twins based on optimal transport. - Sergio Torregrosa; Victor Champaney; Amine Ammar; Vincent Herbert; Francisco Chinesta (Comput. Math. Appl., 2022)

On the High-Resolution Discretization of the Maxwell Equations in a Composite Tape and the Heating Effects Induced by the Dielectric Losses. - Chady Ghnatios; Anais Barasinski; Francisco Chinesta (Comput., 2022)

A Regularized Real-Time Integrator for Data-Driven Control of Heating Channels. - Chady Ghnatios; Victor Champaney; Angelo Pasquale; Francisco Chinesta (Comput., 2022)

Functional Parametric Elasto-Dynamics for Efficient Multicomponent Design. - Jiajun Wu 015; Chady Ghnatios; Philippe Mordillat; Yves Tourbier; Francisco Chinesta (Comput., 2022)

Physics-informed Reinforcement Learning for Perception and Reasoning about Fluids. - Beatriz Moya; Alberto Badías; David González 002; Francisco Chinesta; Elías Cueto (CoRR, 2022)

Thermodynamics of learning physical phenomena. - Elías Cueto; Francisco Chinesta (CoRR, 2022)

Thermodynamics-informed neural networks for physically realistic mixed reality. - Quercus Hernández; Alberto Badías; Francisco Chinesta; Elías Cueto (CoRR, 2022)

Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems. - Quercus Hernández; Alberto Badías; Francisco Chinesta; Elías Cueto (CoRR, 2022)

Introduction for the Special Issue: Statistical Fluid Dynamics. - Amine Ammar; Francisco Chinesta; Rudy Valette (Entropy, 2022)

Surrogate parametric metamodel based on Optimal Transport. - Sergio Torregrosa; Victor Champaney; Amine Ammar; Vincent Herbert; Francisco Chinesta (Math. Comput. Simul., 2022)

MORPH-DSLAM: Model Order Reduction for Physics-Based Deformable SLAM. - Alberto Badías; Icíar Alfaro; David González 002; Francisco Chinesta; Elías Cueto (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

On the use of synthetic images in deep learning for defect recognition in industrial infrastructures. - Clement Mailhe; Amine Ammar; Francisco Chinesta (ICMVA, 2023)

Simultaneous roots for vectorial problems. - Francisco Chinesta; Alicia Cordero; Neus Garrido; Juan R. Torregrosa; Paula Triguero-Navarro (Comput. Appl. Math., 2023)

A time multiscale based data-driven approach in cyclic elasto-plasticity. - Sebastian Rodriguez; Angelo Pasquale; Khanh Nguyen; Amine Ammar; Francisco Chinesta (CoRR, 2023)

On the data-driven description of lattice materials mechanics. - Ismael Ben-Yelun; Luis Irastorza-Valera; Luis Saucedo-Mora; Francisco Javier Montáns; Francisco Chinesta (CoRR, 2023)

Physics Perception in Sloshing Scenes With Guaranteed Thermodynamic Consistency. - Beatriz Moya; Alberto Badías; David González 002; Francisco Chinesta; Elías Cueto (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Parametric Damage Mechanics Empowering Structural Health Monitoring of 3D Woven Composites. - Maurine Jacot; Victor Champaney; Francisco Chinesta; Julien Cortial (Sensors, 2023)

A time multiscale decomposition in cyclic elasto-plasticity. - Angelo Pasquale; Sebastian Rodriguez; Khanh Nguyen; Amine Ammar; Francisco Chinesta (Comput. Math. Appl., 2023)

Regularized regressions for parametric models based on separated representations. - Abel Sancarlos; Victor Champaney; Elías Cueto; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2023)

Quantum Annealing Solutions for Drone Route Planning Problems. - Richard Hua; Daniele Di Lorenzo; Francisco Chinesta; Philippe Codognet (QCE, 2024)

Modular parametric PGD enabling online solution of partial differential equations. - Angelo Pasquale; Mohammad Javad Kazemzadeh-Parsi; Daniele Di Lorenzo; Victor Champaney; Amine Ammar; Francisco Chinesta (Comput. Math. Appl., 2024)

Thermodynamics-informed super-resolution of scarce temporal dynamics data. - Carlos Bermejo-Barbanoj; Beatriz Moya; Alberto Badías; Francisco Chinesta; Elías Cueto (CoRR, 2024)

A comparison of Single- and Double-generator formalisms for Thermodynamics-Informed Neural Networks. - Pau Urdeitx; Icíar Alfaro; David González 002; Francisco Chinesta; Elías Cueto (CoRR, 2024)

Rank Reduction Autoencoders - Enhancing interpolation on nonlinear manifolds. - Jad Mounayer; Sebastian Rodriguez; Chady Ghnatios; Charbel Farhat; Francisco Chinesta (CoRR, 2024)

FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design. - Hooman Danesh; Daniele Di Lorenzo; Francisco Chinesta; Stefanie Reese; Tim Brepols (CoRR, 2024)

On the feasibility of foundational models for the simulation of physical phenomena. - Alicia Tierz; Mikel M. Iparraguirre; Icíar Alfaro; David González 002; Francisco Chinesta; Elías Cueto (CoRR, 2024)

A data-driven learned discretization approach in finite volume schemes for hyperbolic conservation laws and varying boundary conditions. - Guillaume de Romémont; Florent Renac; Jorge Núñez; Francisco Chinesta (CoRR, 2024)

Data Augmentation for Regression Machine Learning Problems in High Dimensions. - Clara Guilhaumon; Nicolas Hascoët; Francisco Chinesta; Marc Lavarde; Fatima Daim (Comput., 2024)

Correction: Ghnatios et al. A Regularized Real-Time Integrator for Data-Driven Control of Heating Channels. Computation 2022, 10, 176. - Chady Ghnatios; Victor Champaney; Angelo Pasquale; Francisco Chinesta (Comput., 2024)

Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks. - Pierre Hembert; Chady Ghnatios; Julien Cotton; Francisco Chinesta (Sensors, 2024)

Thermodynamics-Informed Graph Neural Networks. - Quercus Hernández; Alberto Badías; Francisco Chinesta; Elías Cueto (IEEE Trans. Artif. Intell., 2024)

Hybrid Twins Modeling of a High-Level Radioactive Waste Cell Demonstrator for Long-Term Temperature Monitoring and Forecasting. - David Muñoz; Anoop Ebey Thomas; Julien Cotton; Johan Bertrand; Francisco Chinesta (Sensors, 2024)

Optimal trajectory planning combining model-based and data-driven hybrid approaches. - Chady Ghnatios; Daniele Di Lorenzo; Victor Champaney; Amine Ammar; Elías Cueto; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2024)

A hybrid twin based on machine learning enhanced reduced order model for real-time simulation of magnetic bearings. - Chady Ghnatios; Sebastian Rodriguez; Jerome Tomezyk; Yves Dupuis; Joel Mouterde; Joaquim Da Silva; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2024)

Graph neural networks informed locally by thermodynamics. - Alicia Tierz; Icíar Alfaro; David González 002; Francisco Chinesta; Elías Cueto (Eng. Appl. Artif. Intell., 2025)

Single atom convolutional matching pursuit: Theoretical framework and application to Lamb waves based structural health monitoring. - Sebastian Rodriguez; Marc Rébillat; Shweta Paunikar; Pierre Margerit; Eric Monteiro; Francisco Chinesta; Nazih Mechbal (Signal Process., 2025)

Towards improving synthetic-to-real image correlation for instance recognition in structure monitoring. - Clement Mailhe; Amine Ammar; Francisco Chinesta; Dominique Baillargeat (Vis. Comput., 2025)

Machine Learning (ML) based Reduced Order Modeling (ROM) for linear and non-linear solid and structural mechanics. - Mikhael Tannous; Chady Ghnatios; Eivind Fonn; Trond Kvamsdal; Francisco Chinesta (CoRR, 2025)

Variational Rank Reduction Autoencoder. - Jad Mounayer; Alicia Tierz; Jerome Tomezyk; Chady Ghnatios; Francisco Chinesta (CoRR, 2025)

Data-Driven Adaptive Gradient Recovery for Unstructured Finite Volume Computations. - Guillaume de Romémont; Florent Renac; Francisco Chinesta; Jorge Núñez; D. Gueyffier (CoRR, 2025)

A Multi-Model Probabilistic Framework for Seismic Risk Assessment and Retrofit Planning of Electric Power Networks. - Huangbin Liang; Beatriz Moya; Francisco Chinesta; Eleni N. Chatzi (CoRR, 2025)

Quantifying the Value of Seismic Structural Health Monitoring for post-earthquake recovery of electric power system in terms of resilience enhancement. - Huangbin Liang; Beatriz Moya; Francisco Chinesta; Eleni N. Chatzi (CoRR, 2025)

A neural network architecture for physically-consistent haptic rendering. - Quercus Hernández; Pedro Martins 006; Lucas Tesán; Icíar Alfaro; David González 002; Francisco Chinesta; Elías Cueto (Virtual Real., 2025)

Graph neural network structural limitation for thermal simulation and architecture optimization through rating system. - Pierre Hembert; Chady Ghnatios; Julien Cotton; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2025)

Physics-informed data-driven closure relation for dilute short fiber suspensions. - Bruno Ramoa; Chady Ghnatios; João Miguel Nóbrega; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2025)

A reduced simulation applied to viscoelastic fatigue of polymers using a time multi-scale approach based on partition of Unity method. - Sebastian Rodriguez; Angelo Pasquale; Jad Mounayer; Diego Canales; Marianne Beringhier; Chady Ghnatios; Amine Ammar; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2025)

Machine learning (ML) based reduced order modelling (ROM) for linear and non-linear solid and structural mechanics. - Mikhael Tannous; Chady Ghnatios; Eivind Fonn; Trond Kvamsdal; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2025)

Resilience-based post disaster recovery optimization for infrastructure system via deep reinforcement learning. - Huangbin Liang; Beatriz Moya; Francisco Chinesta; Eleni N. Chatzi (Reliab. Eng. Syst. Saf., 2026)