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

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

From AMUSE to OMUSE and Beyond

Conference Paper (2019)

Author(s)

Inti Pelupessy (Netherlands eScience Center)

Simon Portegies Zwart (Universiteit Leiden)

Arjen van Elteren (Universiteit Leiden)

Henk Dijkstra (Universiteit Utrecht)

Fredrik Jansson (Universiteit Utrecht)

Daan Crommelin (Universiteit van Amsterdam, Centrum Wiskunde & Informatica (CWI))

Pier Siebesma (Royal Netherlands Meteorological Institute (KNMI), TU Delft - Atmospheric Remote Sensing)

Ben van Werkhoven (Netherlands eScience Center)

Gijs van den Oord (Netherlands eScience Center)

Multi-physics Coupling framework Multi-scale simulations

DOI related publication

https://doi.org/10.1007/978-3-030-22747-0_29 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:61855453-7330-4d76-ba79-8cf1a50c04bf

More Info

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Publication Year

2019

Language

English

Pages (from-to)

379-392

Publisher

Springer

ISBN (print)

9783030227463

Event

19th International Conference on Computational Science, ICCS 2019 (2019-06-12 - 2019-06-14), Faro, Portugal

Downloads counter

285

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.