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Mar 14, 2025
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pint.bib updates #903

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14 changes: 14 additions & 0 deletions _bibliography/pint.bib
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Expand Up @@ -7586,6 +7586,20 @@ @article{JinEtAl2025
year = {2025},
}

@article{L2025,
author = {L, D’Amore},
doi = {10.17352/tcsit.000091},
issn = {2641-3086},
journal = {Trends in Computer Science and Information Technology},
number = {2},
pages = {007–010},
publisher = {Peertechz Publications Private Limited},
title = {A Model Decomposition-in-Time of Recurrent Neural Networks: A Feasibility Analysis},
url = {http://dx.doi.org/10.17352/tcsit.000091},
volume = {10},
year = {2025},
}

@unpublished{LaidinEtAl2025,
abstract = {We present the design of a multiscale parareal method for kinetic equations in the fluid dynamic regime. The goal is to reduce the cost of a fully kinetic simulation using a parallel in time procedure. Using the multiscale property of kinetic models, the cheap, coarse propagator consists in a fluid solver and the fine (expensive) propagation is achieved through a kinetic solver for a collisional Vlasov equation. To validate our approach, we present simulations in the 1D in space, 3D in velocity settings over a wide range of initial data and kinetic regimes, showcasing the accuracy, efficiency, and the speedup capabilities of our method.},
author = {Tino Laidin and Thomas Rey},
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