Evidence map›Paper›PMID 24982249›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2014

A framework for multi-scale modelling.

B Chopard, Joris Borgdorff, A G Hoekstra

Abstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021
    Article
  5. Article
  6. Review
  7. Multiscale computing for science and engineering in the era of exascale performance.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019
    Article
  8. Application of the extreme scaling computing pattern on multiscale fusion plasma modelling.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019
    Article
  9. Multiscale modelling, simulation and computing: from the desktop to the exascale.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019
    Article
  10. Semi-intrusive multiscale metamodelling uncertainty quantification with application to a model of in-stent restenosis.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019
    Article
  11. Article
  12. Developing a Policy Flight Simulator to Facilitate the Adoption of an Evidence-Based Intervention.IEEE journal of translational engineering in health and medicine · 2018
    Article
  13. Article
  14. Towards the virtual artery: a multiscale model for vascular physiology at the physics-chemistry-biology interface.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2016
    Article
  15. Multiscale modelling: approaches and challenges.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2014
    Article
  16. Performance of distributed multiscale simulations.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2014
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

B ChopardDepartment of Computer Science, University of Geneva, Geneva, Switzerland bastien.chopard@unige.ch.
Joris BorgdorffDepartment of Computational Science, University of Amsterdam, Amsterdam, The Netherlands.
A G HoekstraDepartment of Computational Science, University of Amsterdam, Amsterdam, The Netherlands National Research University ITMO, Saint-Petersburg, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We review a methodology to design, implement and execute multi-scale and multi-science numerical simulations. We identify important ingredients of multi-scale modelling and give a precise definition of them. Our framework assumes that a multi-scale model can be formulated in terms of a collection of coupled single-scale submodels. With concepts such as the scale separation map, the generic submodel execution loop (SEL) and the coupling templates, one can define a multi-scale modelling language which is a bridge between the application design and the computer implementation. Our approach has been successfully applied to an increasing number of applications from different fields of science and technology.

Indexed as

frameworkmethodologymodellingmulti-scalemulti-scale parallelismsimulation

Identifiers

PMID24982249
PMCPMC4084523

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.