Pattern recognition issues on anisotropic smoothed particle hydrodynamics

Detalhes bibliográficos
Autor(a) principal: Marinho, Eraldo Pereira
Data de Publicação: 2014
Outros Autores: Vagenas, E. C., Vlachos, D. S.
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.
id UNSP_75cb4c6e2bfabe1baedb9527addc43ae
oai_identifier_str oai:repositorio.unesp.br:11449/111598
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling 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
_version_ 1808128754773393408

Registros relacionados