Distributed multiscale computing with MUSCLE 2, the Multiscale Coupling Library and Environment
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 022-112843-21096
- Type
- D - Journal article
- DOI
-
10.1016/j.jocs.2014.04.004
- Title of journal
- Journal Of Computational Science
- Article number
- -
- First page
- 719
- Volume
- 5
- Issue
- 5
- ISSN
- 1877-7503
- Open access status
- Out of scope for open access requirements
- Month of publication
- September
- Year of publication
- 2014
- URL
-
http://bura.brunel.ac.uk/handle/2438/12031
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
8
- Research group(s)
-
1 - Artificial Intelligence (AI)
- Citation count
- 37
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Work presented here forms a backbone of the software infrastructure in four large EU projects (ComPat 671564, VECMA 800925 and CompBioMed 675451, as well as the forthcoming CompBioMed 2 CoE). MUSCLE2 has been adopted across many disciplines, including fusion, climate, biomedicine and environmental sciences. It was also incorporated in the Virtual Physiological Human infrastructure (the Hypermodelling Framework: https://doi.org/10.1016/j.jocs.2018.02.009) and subsequently extended to MUSCLE3 (muscle3.readthedocs.io), which has added support for uncertainty quantification, and is under active development and use in two projects (VECMA and the Dutch e-MUSC project).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
