Zobrazeno 1 - 10
of 216
pro vyhledávání: '"Leliévre, Tony"'
Publikováno v:
Comptes Rendus. Mécanique, Vol , Iss , Pp 1-25 (2023)
We numerically investigate an adaptive version of the parareal algorithm in the context of molecular dynamics. This adaptive variant has been originally introduced in [1]. We focus here on test cases of physical interest where the dynamics of the sys
Externí odkaz:
https://doaj.org/article/6dac9dce93c44e6399fdbf139b305a2e
We study the Fleming--Viot particle system in a discrete state space, in the regime of a fast selection mechanism, namely with killing rates which grow to infinity. This asymptotics creates a time scale separation which results in the formation of a
Externí odkaz:
http://arxiv.org/abs/2407.02054
Autor:
Lelievre, Tony
La première partie du mémoire concerne l'étude de modèles multi-échelles (ou micro-macro) pour les fluides complexes. L'intérêt de ces modèles est d'éviter d'avoir à postuler des lois de comportements phénoménologiques, en couplant une de
Externí odkaz:
http://tel.archives-ouvertes.fr/tel-00392808
http://tel.archives-ouvertes.fr/docs/00/39/28/08/PDF/memoire.pdf
http://tel.archives-ouvertes.fr/docs/00/39/28/08/PDF/memoire.pdf
Autor:
Lelievre, Tony
Ce travail porte principalement sur l'analyse mathématique de modèles multi-échelles pour la simulation de fluides polymériques. Ces modèles couplent, au niveau microscopique, une description moléculaire de l'évolution des chaînes de polymèr
Externí odkaz:
http://tel.archives-ouvertes.fr/tel-00006797
http://tel.archives-ouvertes.fr/docs/00/04/70/76/PDF/tel-00006797.pdf
http://tel.archives-ouvertes.fr/docs/00/04/70/76/PDF/tel-00006797.pdf
We consider the problem of sampling a high dimensional multimodal target probability measure. We assume that a good proposal kernel to move only a subset of the degrees of freedoms (also known as collective variables) is known a priori. This proposal
Externí odkaz:
http://arxiv.org/abs/2405.18160
Overdamped Langevin dynamics are reversible stochastic differential equations which are commonly used to sample probability measures in high-dimensional spaces, such as the ones appearing in computational statistical physics and Bayesian inference. B
Externí odkaz:
http://arxiv.org/abs/2404.12087
We study the narrow escape problem in the disk, which consists in identifying the first exit time and first exit point distribution of a Brownian particle from the ball in dimension 2, with reflecting boundary conditions except on small disjoint wind
Externí odkaz:
http://arxiv.org/abs/2401.06903
Autor:
Taumhas, Yonah Conjungo, Dusson, Geneviève, Ehrlacher, Virginie, Lelièvre, Tony, Madiot, François
In the aim of reducing the computational cost of the resolution of parameter-dependent eigenvalue problems, a model order reduction (MOR) procedure is proposed. We focus on the case of non-self-adjoint generalized eigenvalue problems, such as the sta
Externí odkaz:
http://arxiv.org/abs/2311.13902
Finding collective variables to describe some important coarse-grained information on physical systems, in particular metastable states, remains a key issue in molecular dynamics. Recently, machine learning techniques have been intensively used to co
Externí odkaz:
http://arxiv.org/abs/2310.03492
Autor:
Taumhas, Yonah Conjungo, Dusson, Geneviève, Ehrlacher, Virginie, Lelièvre, Tony, Madiot, François
In this article, we propose a reduced basis method for parametrized non-symmetric eigenvalue problems arising in the loading pattern optimization of a nuclear core in neutronics. To this end, we derive a posteriori error estimates for the eigenvalue
Externí odkaz:
http://arxiv.org/abs/2307.05978