ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2019
Semi-intrusive multiscale metamodelling uncertainty quantification with application to a model of in-stent restenosis.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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Who cites it
6 citing papers in PubMed.
- Uncertainty quantification patterns for multiscale models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021Article
- When we can trust computers (and when we can't).Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021Article
- VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021Article
- Multiscale Computational Modeling of Vascular Adaptation: A Systems Biology Approach Using Agent-Based Models.Frontiers in bioengineering and biotechnology · 2021Review
- [Review of studies on the biomechanical modelling of the coupling effect between stent degradation and blood vessel remodeling].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020Article
- Multiscale modelling, simulation and computing: from the desktop to the exascale.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019Article
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Authors and funding
4 authors.
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Abstract
We explore the efficiency of a semi-intrusive uncertainty quantification (UQ) method for multiscale models as proposed by us in an earlier publication. We applied the multiscale metamodelling UQ method to a two-dimensional multiscale model for the wound healing response in a coronary artery after stenting (in-stent restenosis). The results obtained by the semi-intrusive method show a good match to those obtained by a black-box quasi-Monte Carlo method. Moreover, we significantly reduce the computational cost of the UQ. We conclude that the semi-intrusive metamodelling method is reliable and efficient, and can be applied to such complex models as the in-stent restenosis ISR2D model. This article is part of the theme issue 'Multiscale modelling, simulation and computing: from the desktop to the exascale'.
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