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)

Proper general decomposition (PGD) for the resolution of Navier-Stokes equations. - Antoine Dumon; Cyrille Allery; Amine Ammar (J. Comput. Phys., 2011)

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)

Proper Generalized Decomposition method for incompressible Navier-Stokes equations with a spectral discretization. - Antoine Dumon; Cyrille Allery; Amine Ammar (Appl. Math. Comput., 2013)

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

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)

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

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)

A multiscale separated representation to compute the mechanical behavior of composites with periodic microstructure. - S. Metoui; E. Pruliere; Amine Ammar; Frederic Dau; Ivan Iordanoff (Math. Comput. Simul., 2018)

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)

Viscosity and Rheological Properties of Graphene Nanopowders Nanofluids. - Abderrahim Bakak; Mohamed Lotfi; Rodolphe Heyd; Amine Ammar; Abdelaziz Koumina (Entropy, 2021)

Effect of Shear Flow on Nanoparticles Migration near Liquid Interfaces. - Ali Daher; Amine Ammar; Abbas Hijazi; Lazhar Benyahia (Entropy, 2021)

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)

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)

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

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

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

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)

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)

Comparison of ML Methods for Analyzing Scaffolding Behavior: A Case Study on Safety and Multimodal Results. - Mohamad Al Omari; Mojtaba Eslahi; Amine Ammar; Rani El Meouche; Laure Ducoulombier; Laurent Guillaumat (ICIT, 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)

On the strain energy decomposition in phase field brittle fracture: established models and novel cleavage plane-based techniques. - Nour Habib; Saber El Arem; Amine Ammar (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)