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Implementation of Dusty Gas Model Based on Fast and Implicit Particle-Mesh Approach SPH-IDIC in Open-Source Astrophysical Code GADGET-2. / Демидова, Татьяна; Савватеева, Татьяна Александровна; Аношин, Сергей Александрович et al.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, 2023. p. 195-208 14 (Lecture Notes in Computer Science (LNCS); Vol. 14389).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Демидова, Т, Савватеева, ТА, Аношин, СА, Григорьев, В & Стояновская, ОП 2023, Implementation of Dusty Gas Model Based on Fast and Implicit Particle-Mesh Approach SPH-IDIC in Open-Source Astrophysical Code GADGET-2. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)., 14, Lecture Notes in Computer Science (LNCS), vol. 14389, Springer Science and Business Media Deutschland GmbH, pp. 195-208, 9th Russian Supercomputing Days International Conference, Москва, Russian Federation, 25.09.2023. https://doi.org/10.1007/978-3-031-49435-2_14

APA

Демидова, Т., Савватеева, Т. А., Аношин, С. А., Григорьев, В., & Стояновская, О. П. (2023). Implementation of Dusty Gas Model Based on Fast and Implicit Particle-Mesh Approach SPH-IDIC in Open-Source Astrophysical Code GADGET-2. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 195-208). [14] (Lecture Notes in Computer Science (LNCS); Vol. 14389). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-49435-2_14

Vancouver

Демидова Т, Савватеева ТА, Аношин СА, Григорьев В, Стояновская ОП. Implementation of Dusty Gas Model Based on Fast and Implicit Particle-Mesh Approach SPH-IDIC in Open-Source Astrophysical Code GADGET-2. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH. 2023. p. 195-208. 14. (Lecture Notes in Computer Science (LNCS)). doi: 10.1007/978-3-031-49435-2_14

Author

Демидова, Татьяна ; Савватеева, Татьяна Александровна ; Аношин, Сергей Александрович et al. / Implementation of Dusty Gas Model Based on Fast and Implicit Particle-Mesh Approach SPH-IDIC in Open-Source Astrophysical Code GADGET-2. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, 2023. pp. 195-208 (Lecture Notes in Computer Science (LNCS)).

BibTeX

@inproceedings{1be80045131e4709adf0ff22c58f7696,
title = "Implementation of Dusty Gas Model Based on Fast and Implicit Particle-Mesh Approach SPH-IDIC in Open-Source Astrophysical Code GADGET-2",
abstract = "Particle approaches considered to study the interaction of dust grains of the same size and a gas medium based on Smoothed Particle Hydrodynamics method. The paper compares two algorithms for solving this problem, described in [1, 2]. Both algorithms were implemented by in a modified version of the GADGET-2 program code. One-dimensional and three-dimensional tests were carried out in order to confirm the properties of the algorithms and to make performance measurements of the code.",
keywords = "Computational Physics, Epstein drag simulation, Hydrodynamics",
author = "Татьяна Демидова and Савватеева, {Татьяна Александровна} and Аношин, {Сергей Александрович} and Виталий Григорьев and Стояновская, {Ольга Петровна}",
note = "The study was founded by the Russian Science Foundation grant number 23-11-00142.; 9th Russian Supercomputing Days International Conference, RuSCDays 2023 ; Conference date: 25-09-2023 Through 26-09-2023",
year = "2023",
doi = "10.1007/978-3-031-49435-2_14",
language = "English",
isbn = "978-303149434-5",
series = "Lecture Notes in Computer Science (LNCS)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "195--208",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",

}

RIS

TY - GEN

T1 - Implementation of Dusty Gas Model Based on Fast and Implicit Particle-Mesh Approach SPH-IDIC in Open-Source Astrophysical Code GADGET-2

AU - Демидова, Татьяна

AU - Савватеева, Татьяна Александровна

AU - Аношин, Сергей Александрович

AU - Григорьев, Виталий

AU - Стояновская, Ольга Петровна

N1 - Conference code: 9

PY - 2023

Y1 - 2023

N2 - Particle approaches considered to study the interaction of dust grains of the same size and a gas medium based on Smoothed Particle Hydrodynamics method. The paper compares two algorithms for solving this problem, described in [1, 2]. Both algorithms were implemented by in a modified version of the GADGET-2 program code. One-dimensional and three-dimensional tests were carried out in order to confirm the properties of the algorithms and to make performance measurements of the code.

AB - Particle approaches considered to study the interaction of dust grains of the same size and a gas medium based on Smoothed Particle Hydrodynamics method. The paper compares two algorithms for solving this problem, described in [1, 2]. Both algorithms were implemented by in a modified version of the GADGET-2 program code. One-dimensional and three-dimensional tests were carried out in order to confirm the properties of the algorithms and to make performance measurements of the code.

KW - Computational Physics

KW - Epstein drag simulation

KW - Hydrodynamics

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85182589468&origin=inward&txGid=20ab225bde164b03abd94254916f730d

UR - https://www.mendeley.com/catalogue/33bd83e8-b8fd-30cf-92f1-1217530362bf/

U2 - 10.1007/978-3-031-49435-2_14

DO - 10.1007/978-3-031-49435-2_14

M3 - Conference contribution

SN - 978-303149434-5

T3 - Lecture Notes in Computer Science (LNCS)

SP - 195

EP - 208

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer Science and Business Media Deutschland GmbH

T2 - 9th Russian Supercomputing Days International Conference

Y2 - 25 September 2023 through 26 September 2023

ER -

ID: 59681280