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Creating a Reusable Cross-Disciplinary Multi-scale and Multi-physics Framework : From AMUSE to OMUSE and Beyond. / Pelupessy, Inti; Portegies Zwart, Simon; van Elteren, Arjen; Dijkstra, Henk; Jansson, Fredrik; Crommelin, Daan; Siebesma, Pier; van Werkhoven, Ben; van den Oord, Gijs.

Computational Science – ICCS 2019 - 19th International Conference, Proceedings. ed. / João M.F. Rodrigues; Pedro J.S. Cardoso; Jânio Monteiro; Roberto Lam; Valeria V. Krzhizhanovskaya; Michael H. Lees; Peter M.A. Sloot; Jack J. Dongarra. Springer, 2019. p. 379-392 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11539 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Pelupessy, I, Portegies Zwart, S, van Elteren, A, Dijkstra, H, Jansson, F, Crommelin, D, Siebesma, P, van Werkhoven, B & van den Oord, G 2019, Creating a Reusable Cross-Disciplinary Multi-scale and Multi-physics Framework: From AMUSE to OMUSE and Beyond. in JMF Rodrigues, PJS Cardoso, J Monteiro, R Lam, VV Krzhizhanovskaya, MH Lees, PMA Sloot & JJ Dongarra (eds), Computational Science – ICCS 2019 - 19th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11539 LNCS, Springer, pp. 379-392, 19th International Conference on Computational Science, ICCS 2019, Faro, Portugal, 12/06/19. https://doi.org/10.1007/978-3-030-22747-0_29

APA

Pelupessy, I., Portegies Zwart, S., van Elteren, A., Dijkstra, H., Jansson, F., Crommelin, D., ... van den Oord, G. (2019). Creating a Reusable Cross-Disciplinary Multi-scale and Multi-physics Framework: From AMUSE to OMUSE and Beyond. In J. M. F. Rodrigues, P. J. S. Cardoso, J. Monteiro, R. Lam, V. V. Krzhizhanovskaya, M. H. Lees, P. M. A. Sloot, ... J. J. Dongarra (Eds.), Computational Science – ICCS 2019 - 19th International Conference, Proceedings (pp. 379-392). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11539 LNCS). Springer. https://doi.org/10.1007/978-3-030-22747-0_29

Vancouver

Pelupessy I, Portegies Zwart S, van Elteren A, Dijkstra H, Jansson F, Crommelin D et al. Creating a Reusable Cross-Disciplinary Multi-scale and Multi-physics Framework: From AMUSE to OMUSE and Beyond. In Rodrigues JMF, Cardoso PJS, Monteiro J, Lam R, Krzhizhanovskaya VV, Lees MH, Sloot PMA, Dongarra JJ, editors, Computational Science – ICCS 2019 - 19th International Conference, Proceedings. Springer. 2019. p. 379-392. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-22747-0_29

Author

Pelupessy, Inti ; Portegies Zwart, Simon ; van Elteren, Arjen ; Dijkstra, Henk ; Jansson, Fredrik ; Crommelin, Daan ; Siebesma, Pier ; van Werkhoven, Ben ; van den Oord, Gijs. / Creating a Reusable Cross-Disciplinary Multi-scale and Multi-physics Framework : From AMUSE to OMUSE and Beyond. Computational Science – ICCS 2019 - 19th International Conference, Proceedings. editor / João M.F. Rodrigues ; Pedro J.S. Cardoso ; Jânio Monteiro ; Roberto Lam ; Valeria V. Krzhizhanovskaya ; Michael H. Lees ; Peter M.A. Sloot ; Jack J. Dongarra. Springer, 2019. pp. 379-392 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{6185545373304d76ba798cf1a50c04bf,
title = "Creating a Reusable Cross-Disciplinary Multi-scale and Multi-physics Framework: From AMUSE to OMUSE and Beyond",
abstract = "Here, we describe our efforts to create a multi-scale and multi-physics framework that can be retargeted across different disciplines. Currently we have implemented our approach in the astrophysical domain, for which we developed AMUSE (github.com/amusecode/amuse ), and generalized this to the oceanographic and climate sciences, which led to the development of OMUSE (bitbucket.org/omuse ). The objective of this paper is to document the design choices that led to the successful implementation of these frameworks as well as the future challenges in applying this approach to other domains.",
keywords = "Coupling framework, Multi-physics, Multi-scale simulations",
author = "Inti Pelupessy and {Portegies Zwart}, Simon and {van Elteren}, Arjen and Henk Dijkstra and Fredrik Jansson and Daan Crommelin and Pier Siebesma and {van Werkhoven}, Ben and {van den Oord}, Gijs",
year = "2019",
doi = "10.1007/978-3-030-22747-0_29",
language = "English",
isbn = "9783030227463",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "379--392",
editor = "Rodrigues, {Jo{\~a}o M.F.} and Cardoso, {Pedro J.S.} and J{\^a}nio Monteiro and Roberto Lam and Krzhizhanovskaya, {Valeria V.} and Lees, {Michael H.} and Sloot, {Peter M.A.} and Dongarra, {Jack J.}",
booktitle = "Computational Science – ICCS 2019 - 19th International Conference, Proceedings",

}

RIS

TY - GEN

T1 - Creating a Reusable Cross-Disciplinary Multi-scale and Multi-physics Framework

T2 - From AMUSE to OMUSE and Beyond

AU - Pelupessy, Inti

AU - Portegies Zwart, Simon

AU - van Elteren, Arjen

AU - Dijkstra, Henk

AU - Jansson, Fredrik

AU - Crommelin, Daan

AU - Siebesma, Pier

AU - van Werkhoven, Ben

AU - van den Oord, Gijs

PY - 2019

Y1 - 2019

N2 - Here, we describe our efforts to create a multi-scale and multi-physics framework that can be retargeted across different disciplines. Currently we have implemented our approach in the astrophysical domain, for which we developed AMUSE (github.com/amusecode/amuse ), and generalized this to the oceanographic and climate sciences, which led to the development of OMUSE (bitbucket.org/omuse ). The objective of this paper is to document the design choices that led to the successful implementation of these frameworks as well as the future challenges in applying this approach to other domains.

AB - Here, we describe our efforts to create a multi-scale and multi-physics framework that can be retargeted across different disciplines. Currently we have implemented our approach in the astrophysical domain, for which we developed AMUSE (github.com/amusecode/amuse ), and generalized this to the oceanographic and climate sciences, which led to the development of OMUSE (bitbucket.org/omuse ). The objective of this paper is to document the design choices that led to the successful implementation of these frameworks as well as the future challenges in applying this approach to other domains.

KW - Coupling framework

KW - Multi-physics

KW - Multi-scale simulations

UR - http://www.scopus.com/inward/record.url?scp=85067630654&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-22747-0_29

DO - 10.1007/978-3-030-22747-0_29

M3 - Conference contribution

SN - 9783030227463

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 379

EP - 392

BT - Computational Science – ICCS 2019 - 19th International Conference, Proceedings

A2 - Rodrigues, João M.F.

A2 - Cardoso, Pedro J.S.

A2 - Monteiro, Jânio

A2 - Lam, Roberto

A2 - Krzhizhanovskaya, Valeria V.

A2 - Lees, Michael H.

A2 - Sloot, Peter M.A.

A2 - Dongarra, Jack J.

PB - Springer

ER -

ID: 66775677