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Amine Ammar
Researcher at Arts et Métiers ParisTech
Publications - 168
Citations - 4694
Amine Ammar is an academic researcher from Arts et Métiers ParisTech. The author has contributed to research in topics: Curse of dimensionality & Finite element method. The author has an hindex of 30, co-authored 151 publications receiving 4227 citations. Previous affiliations of Amine Ammar include University of Angers & ESI Group.
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A new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modeling of complex fluids
TL;DR: This work states thatKinetic theory models involving the Fokker-Planck equation can be accurately discretized using a mesh support using a reduced approximation basis within an adaptive procedure making use of an efficient separation of variables.
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Recent Advances and New Challenges in the Use of the Proper Generalized Decomposition for Solving Multidimensional Models
TL;DR: This paper revisits a powerful discretization technique, the Proper Generalized Decomposition—PGD, illustrating its ability for solving highly multidimensional models.
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A new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modelling of complex fluids - Part II: Transient simulation using space-time separated representations
TL;DR: This work presents a new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modeling of complex fluids using separated representations and tensor product approximations basis for treating transient models.
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PGD-Based Computational Vademecum for Efficient Design, Optimization and Control
Francisco Chinesta,Adrien Leygue,Felipe Bordeu,Jose Vicente Aguado,Elías Cueto,David González,Icíar Alfaro,Amine Ammar,Antonio Huerta +8 more
TL;DR: A new paradigm in the field of simulation-based engineering sciences (SBES) to face the challenges posed by current ICT technologies is addressed, by combining an off-line stage in which the general PGD solution, the vademecum, is computed, and an on-line phase in which real-time response is obtained as a result of the queries.
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An overview of the proper generalized decomposition with applications in computational rheology
TL;DR: The use of the PGD is illustrated in four problem categories related to computational rheology: the direct solution of the Fokker-Planck equation for complex fluids in configuration spaces of high dimension, the development of very efficient non-incremental algorithms for transient problems, and the solution of multidimensional parametric models obtained by introducing various sources of problem variability as additional coordinates.