An Adaptive Parareal Algorithm: Application to the Simulation of Molecular Dynamics Trajectories-Reference-Cited by-同舟云学术

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An Adaptive Parareal Algorithm: Application to the Simulation of Molecular Dynamics Trajectories

Published:2022-01-25 Issue:1 Volume:44 Page:B146-B176
ISSN:1064-8275
Container-title:SIAM Journal on Scientific Computing
language:en
Short-container-title:SIAM J. Sci. Comput.

Author:

Legoll Frédéric,Lelièvre Tony,Sharma Upanshu

Funder

EuroHPC

Agence Nationale de la Recherche

Alexander von Humboldt-Stiftung

Deutsche Forschungsgemeinschaft

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Computational Mathematics

Link

https://epubs.siam.org/doi/pdf/10.1137/21M1412979

Reference20 articles.

1. Parallel-in-time molecular-dynamics simulations

2. Parallel in time algorithms with reduction methods for solving chemical kinetics

3. Long-Run Accuracy of Variational Integrators in the Stochastic Context

4. Symmetric parareal algorithms for Hamiltonian systems

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1. Parallel-in-time integration of the Landau–Lifshitz–Gilbert equation with the parallel full approximation scheme in space and time;Journal of Magnetism and Magnetic Materials;2024-05

2. A second-order time parallel decoupled algorithm for the Stokes/Darcy model;Computers & Mathematics with Applications;2024-05

3. Energy-Preserving Parareal-RKN Algorithms for Hamiltonian Systems;Numerical Mathematics: Theory, Methods and Applications;2023-12

4. Combining machine-learned and empirical force fields with the parareal algorithm: application to the diffusion of atomistic defects;Comptes Rendus. Mécanique;2023-10-18

5. Error Bound Analysis of the Stochastic Parareal Algorithm;SIAM Journal on Scientific Computing;2023-10-06

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