4.4 Article

FREE-ENERGY-DISSIPATIVE SCHEMES FOR THE OLDROYD-B MODEL

Publisher

EDP SCIENCES S A
DOI: 10.1051/m2an/2009008

Keywords

Viscoelastic fluids; Weissenberg number; stability; entropy; finite elements methods; discontinuous Galerkin method; characteristic method

Funding

  1. France Israel Teamwork in Sciences

Ask authors/readers for more resources

In this article, we analyze the stability of various numerical schemes for differential models of viscoelastic fluids. More precisely, we consider the prototypical Oldroyd-B model, for which a free energy dissipation holds, and we show under which assumptions such a dissipation is also satisfied for the numerical scheme. Among the numerical schemes we analyze, we consider some discretizations based on the log-formulation of the Oldroyd-B system proposed by Fattal and Kupferman in [J. Non-Newtonian Fluid Mech. 123 (2004) 281-285], for which solutions in some benchmark problems have been obtained beyond the limiting Weissenberg numbers for the standard scheme (see [Hulsen et al. J. Non-Newtonian Fluid Mech. 127 (2005) 27-39]). Our analysis gives some tracks to understand these numerical observations.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Mathematics, Applied

Stochastic homogenization of a scalar viscoelastic model exhibiting stress-strain hysteresis

Thomas Hudson, Frederic Legoll, Tony Lelievre

ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS-MODELISATION MATHEMATIQUE ET ANALYSE NUMERIQUE (2020)

Correction Mathematics, Applied

Hybrid Monte Carlo methods for sampling probability measures on submanifolds (vol 143, 379, 2019)

Tony Lelievre, Mathias Rousset, Gabriel Stoltz

NUMERISCHE MATHEMATIK (2020)

Article Statistics & Probability

Analysis of a micro-macro acceleration method with minimum relative entropy moment matching

Tony Lelievre, Giovanni Samaey, Przemyslaw Zielinski

STOCHASTIC PROCESSES AND THEIR APPLICATIONS (2020)

Article Multidisciplinary Sciences

Local and global perspectives on diffusion maps in the analysis of molecular systems

Z. Trstanova, B. Leimkuhler, T. Lelievre

PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2020)

Article Mathematics, Applied

Viscoelastic flows of Maxwell fluids with conservation laws

Sebastien Boyaval

Summary: In this study, multi-dimensional extensions of Maxwell's one-dimensional viscoelastic flow rheological equation were considered. A symmetric hyperbolic system of conservation laws was proposed for compressible flows, with the Upper-Convected Maxwell equation as the causal model. This system includes an additional material metric variable to model viscous effects and can cover various rheological equations depending on the relaxation limit chosen for the material metric variable.

ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS-MODELISATION MATHEMATIQUE ET ANALYSE NUMERIQUE (2021)

Article Mathematics, Applied

The exit from a metastable state: concentration of the exit point distribution on the low energy saddle points, part 2

Tony Lelievre, Dorian Le Peutrec, Boris Nectoux

Summary: This work examines the exit point distribution from a bounded domain of a stochastic process, taking into account the influence of initial conditions on the distribution. The proofs rely on analytical results on the dependency of the exit point distribution on the initial condition, as well as large deviation techniques and results on the genericity of Morse functions.

STOCHASTICS AND PARTIAL DIFFERENTIAL EQUATIONS-ANALYSIS AND COMPUTATIONS (2022)

Article Statistics & Probability

CONVERGENCE OF METADYNAMICS: DISCUSSION OF THE ADIABATIC HYPOTHESIS

Benjamin Jourdain, Tony Lelievre, Pierre-Andre Zitt

Summary: By drawing a parallel between metadynamics and self interacting models for polymers, the study focuses on the longtime convergence of the original metadynamics algorithm in the adiabatic setting, and discusses the bias introduced when the adiabatic assumption does not hold.

ANNALS OF APPLIED PROBABILITY (2021)

Article Mathematics, Applied

The adaptive biasing force algorithm with non-conservative forces and related topics

Tony Lelievre, Lise Maurin, Pierre Monmarche

Summary: The study proposes an investigation into the robustness of the Adaptive Biasing Force method under generic (possibly non-conservative) forces. The researchers ensure the satisfaction of the flat histogram property and establish the existence of a stationary state for both the Adaptive Biasing Force and Projected Adapted Biasing Force algorithms. Using classical entropy techniques, the study proves the exponential convergence of the biasing force and law over time for both methods.

ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS (2022)

Article Chemistry, Physical

Chasing Collective Variables Using Autoencoders and Biased Trajectories

Zineb Belkacemi, Paraskevi Gkeka, Tony Lelievre, Gabriel Stoltz

Summary: Free energy biasing methods are powerful in accelerating molecular conformational changes simulation, but they usually require prior knowledge of collective variables. Machine learning and dimensionality reduction algorithms can be used to identify these collective variables. A new iterative method involving autoencoders, FEBILAE, is introduced in this paper to ensure optimization of the same loss at each iteration and achieve collective variable convergence.

JOURNAL OF CHEMICAL THEORY AND COMPUTATION (2022)

Article Mathematics, Applied

AN ADAPTIVE PARAREAL ALGORITHM: APPLICATION TO THE SIMULATION OF MOLECULAR DYNAMICS TRAJECTORIES

Frederic Legoll, Tony Lelievre, Upanshu Sharma

Summary: The aim of this article is to design parareal algorithms for thermostated molecular dynamics simulations. The traditional parareal algorithm is not suitable for molecular dynamics due to its limitations. This article proposes a modified version of the parareal algorithm that is better suited for molecular dynamics simulations. However, the modified algorithm still has some limitations, including intermediate trajectory blow-up, encounters with undefined values, and no computational advantage in long time horizons. Through numerical experiments, this article demonstrates that the adaptive algorithm overcomes the limitations of the standard algorithm and achieves significant improvements.

SIAM JOURNAL ON SCIENTIFIC COMPUTING (2022)

Article Statistics & Probability

Quasi-stationary distribution for the Langevin process in cylindrical domains, Part I: Existence, uniqueness and long-time convergence

Tony Lelievre, Mouad Ramil, Julien Reygner

Summary: This study investigates the properties of the Langevin process on a bounded-in-position domain, proving compactness of its semigroup and the existence of a unique quasi-stationary distribution. A spectral interpretation of the QSD is provided, along with exponential convergence of the process towards the QSD under non-absorption conditions. An explicit formula for the first exit point distribution from the domain, starting from the QSD, is given.

STOCHASTIC PROCESSES AND THEIR APPLICATIONS (2022)

Article Mathematics, Applied

A probabilistic study of the kinetic Fokker-Planck equation in cylindrical domains

Tony Lelievre, Mouad Ramil, Julien Reygner

Summary: This article focuses on classical solutions to the kinetic Fokker-Planck equation within a bounded domain O in position, utilizing the Langevin diffusion process with absorbing boundary conditions to obtain probabilistic representations of the solutions. Important results such as the Harnack inequality, maximum principle, and the smooth transition density for the absorbed Langevin process are provided on the phase-space cylindrical domain D = O x R-d. The study also examines the continuity and positivity of the transition density at the boundary of D.

JOURNAL OF EVOLUTION EQUATIONS (2022)

Article Statistics & Probability

On the Hill relation and the mean reaction time for metastable processes

Manon Baudel, Arnaud Guyader, Tony Lelievre

Summary: We show how the Hill relation and the concept of quasi-stationary distribution can be applied to analyze biasing errors in various numerical procedures used in molecular dynamics to compute mean reaction times between metastable states for Markov processes. Theoretical findings are demonstrated on different examples, highlighting the precision of biasing error analysis and the applicability of our study to elliptic diffusions.

STOCHASTIC PROCESSES AND THEIR APPLICATIONS (2023)

Article Materials Science, Multidisciplinary

Mathematical foundations for the Parallel Replica algorithm applied to the underdamped Langevin dynamics

Mouad Ramil, Tony Lelievre, Julien Reygner

Summary: Molecular dynamics methods are used to study the time evolution of complex molecular systems and their transitions between stable states. The Parallel Replica algorithm is a powerful tool to efficiently sample rare events in these systems. This research letter establishes the existence of a quasi-stationary distribution for the Langevin dynamics involved in the Parallel Replica algorithm and provides insight into the overdamped limit behavior of the dynamics.

MRS COMMUNICATIONS (2022)

Article Mathematics, Interdisciplinary Applications

Parareal computation of stochastic differential equations with time-scale separation: a numerical convergence study

Frederic Legoll, Tony Lelievre, Keith Myerscough, Giovanni Samaey

COMPUTING AND VISUALIZATION IN SCIENCE (2020)

No Data Available