Pattern recognition issues on anisotropic smoothed particle hydrodynamics
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1088/1742-6596/490/1/012063 http://hdl.handle.net/11449/111598 |
Resumo: | This is a preliminary theoretical discussion on the computational requirements of the state of the art smoothed particle hydrodynamics (SPH) from the optics of pattern recognition and artificial intelligence. It is pointed out in the present paper that, when including anisotropy detection to improve resolution on shock layer, SPH is a very peculiar case of unsupervised machine learning. On the other hand, the free particle nature of SPH opens an opportunity for artificial intelligence to study particles as agents acting in a collaborative framework in which the timed outcomes of a fluid simulation forms a large knowledge base, which might be very attractive in computational astrophysics phenomenological problems like self-propagating star formation. |
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Pattern recognition issues on anisotropic smoothed particle hydrodynamicsThis is a preliminary theoretical discussion on the computational requirements of the state of the art smoothed particle hydrodynamics (SPH) from the optics of pattern recognition and artificial intelligence. It is pointed out in the present paper that, when including anisotropy detection to improve resolution on shock layer, SPH is a very peculiar case of unsupervised machine learning. On the other hand, the free particle nature of SPH opens an opportunity for artificial intelligence to study particles as agents acting in a collaborative framework in which the timed outcomes of a fluid simulation forms a large knowledge base, which might be very attractive in computational astrophysics phenomenological problems like self-propagating star formation.Univ Estadual Paulista UNESP IGCE, Dept Comp, Rio Claro, SP, BrazilUniv Estadual Paulista UNESP IGCE, Dept Comp, Rio Claro, SP, BrazilIop Publishing LtdUniversidade Estadual Paulista (Unesp)Marinho, Eraldo PereiraVagenas, E. C.Vlachos, D. S.2014-12-03T13:08:47Z2014-12-03T13:08:47Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject4application/pdfhttp://dx.doi.org/10.1088/1742-6596/490/1/0120632nd International Conference On Mathematical Modeling In Physical Sciences 2013 (ic-msquare 2013). Bristol: Iop Publishing Ltd, v. 490, 4 p., 2014.1742-6588http://hdl.handle.net/11449/11159810.1088/1742-6596/490/1/012063WOS:000335909300063WOS000335909300063.pdf42760784735597750000-0002-7413-0161Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2nd International Conference On Mathematical Modeling In Physical Sciences 2013 (ic-msquare 2013)0,241info:eu-repo/semantics/openAccess2023-11-07T06:13:15Zoai:repositorio.unesp.br:11449/111598Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:05:43.703027Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Pattern recognition issues on anisotropic smoothed particle hydrodynamics |
title |
Pattern recognition issues on anisotropic smoothed particle hydrodynamics |
spellingShingle |
Pattern recognition issues on anisotropic smoothed particle hydrodynamics Marinho, Eraldo Pereira |
title_short |
Pattern recognition issues on anisotropic smoothed particle hydrodynamics |
title_full |
Pattern recognition issues on anisotropic smoothed particle hydrodynamics |
title_fullStr |
Pattern recognition issues on anisotropic smoothed particle hydrodynamics |
title_full_unstemmed |
Pattern recognition issues on anisotropic smoothed particle hydrodynamics |
title_sort |
Pattern recognition issues on anisotropic smoothed particle hydrodynamics |
author |
Marinho, Eraldo Pereira |
author_facet |
Marinho, Eraldo Pereira Vagenas, E. C. Vlachos, D. S. |
author_role |
author |
author2 |
Vagenas, E. C. Vlachos, D. S. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Marinho, Eraldo Pereira Vagenas, E. C. Vlachos, D. S. |
description |
This is a preliminary theoretical discussion on the computational requirements of the state of the art smoothed particle hydrodynamics (SPH) from the optics of pattern recognition and artificial intelligence. It is pointed out in the present paper that, when including anisotropy detection to improve resolution on shock layer, SPH is a very peculiar case of unsupervised machine learning. On the other hand, the free particle nature of SPH opens an opportunity for artificial intelligence to study particles as agents acting in a collaborative framework in which the timed outcomes of a fluid simulation forms a large knowledge base, which might be very attractive in computational astrophysics phenomenological problems like self-propagating star formation. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-12-03T13:08:47Z 2014-12-03T13:08:47Z 2014-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1088/1742-6596/490/1/012063 2nd International Conference On Mathematical Modeling In Physical Sciences 2013 (ic-msquare 2013). Bristol: Iop Publishing Ltd, v. 490, 4 p., 2014. 1742-6588 http://hdl.handle.net/11449/111598 10.1088/1742-6596/490/1/012063 WOS:000335909300063 WOS000335909300063.pdf 4276078473559775 0000-0002-7413-0161 |
url |
http://dx.doi.org/10.1088/1742-6596/490/1/012063 http://hdl.handle.net/11449/111598 |
identifier_str_mv |
2nd International Conference On Mathematical Modeling In Physical Sciences 2013 (ic-msquare 2013). Bristol: Iop Publishing Ltd, v. 490, 4 p., 2014. 1742-6588 10.1088/1742-6596/490/1/012063 WOS:000335909300063 WOS000335909300063.pdf 4276078473559775 0000-0002-7413-0161 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2nd International Conference On Mathematical Modeling In Physical Sciences 2013 (ic-msquare 2013) 0,241 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
4 application/pdf |
dc.publisher.none.fl_str_mv |
Iop Publishing Ltd |
publisher.none.fl_str_mv |
Iop Publishing Ltd |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1808128754773393408 |