Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Bettencourt, Matthew"'
Autor:
Chigaev, Michael, Smith, Justin S., Anaya, Steven, Nebgen, Benjamin, Bettencourt, Matthew, Barros, Kipton, Lubbers, Nicholas
Atomistic machine learning focuses on the creation of models which obey fundamental symmetries of atomistic configurations, such as permutation, translation, and rotation invariances. In many of these schemes, translation and rotation invariance are
Externí odkaz:
http://arxiv.org/abs/2212.03195
Autor:
Glines, Forrest W., Beckwith, Kristian R. C., Braun, Joshua R., Cyr, Eric C., Ober, Curtis C., Bettencourt, Matthew, Cartwright, Keith L., Conde, Sidafa, Miller, Sean T., Roberds, Nicholas, Roberts, Nathan V., Swan, Matthew S., Pawlowski, Roger
In this work, we present a discontinuous-Galerkin method for evolving relativistic hydrodynamics. We include an exploration of analytical and iterative methods to recover the primitive variables from the conserved variables for the ideal equation of
Externí odkaz:
http://arxiv.org/abs/2205.00095
Autor:
Boerner, Jeremiah J., Hall, Taylor, Hooper, Russell, Bettencourt, Matthew T., Hopkins, Matthew M., Grillet, Anne M., Pacheco, Jose L.
Publikováno v:
In Journal of Computational Physics 15 January 2025 521 Part 1
Autor:
Brown, Dominic A.S., Bettencourt, Matthew T., Wright, Steven A., Maheswaran, Satheesh, Jones, John P., Jarvis, Stephen A.
Publikováno v:
In Journal of Computational Physics 15 June 2021 435
Autor:
Chigaev, Michael, Smith, Justin S., Anaya, Steven, Nebgen, Benjamin, Bettencourt, Matthew, Barros, Kipton, Lubbers, Nicholas
Publikováno v:
Journal of Chemical Physics; 5/14/2023, Vol. 158 Issue 18, p1-18, 18p
Publikováno v:
In Journal of Computational Physics 1 December 2016 326:342-372
Akademický článek
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Autor:
Brown, Dominic, Bettencourt, Matthew T., Wright, Steven A., Jones, John P., Jarvis, Stephen A.
Publikováno v:
IOP Computational Plasma Physics Conference
Computational Plasma Physics Conference
Computational Plasma Physics Conference
The emergence of modern many-core architectures that offer an extreme level of parallelism makes methods that were previously infeasible due to computational expense now achievable. Particle-in-Cell (PIC) codes often fail to fully leverage this incre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4be1d7245daa1f3b307ef3b439bdbab3
https://eprints.whiterose.ac.uk/136576/1/Performance_second_order_particle_Brown_2017.pdf
https://eprints.whiterose.ac.uk/136576/1/Performance_second_order_particle_Brown_2017.pdf
Akademický článek
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Autor:
Lin, Paul1, Bettencourt, Matthew1, Domino, Stefan1, Fisher, Travis1, Hoemmen, Mark1, Hu, Jonathan1, Phipps, Eric1, Prokopenko, Andrey1, Rajamanickam, Sivasankaran1, Siefert, Christopher1, Kennon, Stephen1
Publikováno v:
Parallel Processing Letters. Dec2014, Vol. 24 Issue 4, p-1. 20p.