Aspects of multiscale models

2021 ◽  
pp. 255-264
Keyword(s):  
Multiscale Models

Towards Generating Spatiotemporal Multiscale Models of Human Pancreatic Beta Cells

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2171-P
Author(s):  
KATE L. WHITE ◽  
KYLE MCCLARY ◽  
JITIN SINGLA ◽  
RAYMOND C. STEVENS
Keyword(s):  
Beta Cells ◽  
Pancreatic Beta Cells ◽  
Multiscale Models

Multiscale Models of Melting Arctic Sea Ice

2013 ◽  
Author(s):  
Kenneth M. Golden ◽  
Donald K. Perovich
Keyword(s):  
Sea Ice ◽  
Arctic Sea Ice ◽  
Multiscale Models ◽  
Arctic Sea

scholarly journals Integrated multiscale biomaterials experiment and modelling: a perspective

2016 ◽  
Vol 6 (1) ◽  
pp. 20150098 ◽  
Author(s):  
Markus J. Buehler ◽  
Guy M. Genin
Keyword(s):  
State Of The Art ◽  
Biological Systems ◽  
The State ◽  
Computational Power ◽  
Multiscale Models ◽  
Predictive Capacity ◽  
Hierarchical Levels ◽  
Challenges And Opportunities

Advances in multiscale models and computational power have enabled a broad toolset to predict how molecules, cells, tissues and organs behave and develop. A key theme in biological systems is the emergence of macroscale behaviour from collective behaviours across a range of length and timescales, and a key element of these models is therefore hierarchical simulation. However, this predictive capacity has far outstripped our ability to validate predictions experimentally, particularly when multiple hierarchical levels are involved. The state of the art represents careful integration of multiscale experiment and modelling, and yields not only validation, but also insights into deformation and relaxation mechanisms across scales. We present here a sampling of key results that highlight both challenges and opportunities for integrated multiscale experiment and modelling in biological systems.

Multiscale models of hard-soft composite media

2006 ◽  
Vol 303 (2) ◽  
pp. 282-286 ◽  
Author(s):  
F. Garcia-Sanchez ◽  
O. Chubykalo-Fesenko ◽  
O.N. Mryasov ◽  
R.W. Chantrell
Keyword(s):  
Composite Media ◽  
Multiscale Models ◽  
Soft Composite

scholarly journals A multiscale approach to estimate the cellular diffusivity during food drying

2021 ◽  
Author(s):  
Zachary G Welsh
Keyword(s):  
Water Content ◽  
Effective Diffusivity ◽  
Theoretical Models ◽  
Intracellular Water ◽  
Cellular Heterogeneity ◽  
Multiscale Approach ◽  
Multiscale Models ◽  
Drying Model ◽  
Cellular Water ◽  
Multiscale Homogenization

Theoretical models for food drying commonly utilize an effective diffusivity solved through curve fitting based on experimental data. This creates models with limited predictive capabilities. Multiscale modeling is one approach which can help transition to a more physics-based model minimizing the empirical information required while improving a model’s predictive capabilities. However, to enable an accurate scaling operation, multiscale models require diffusivity at a fine scale (microscale). Measuring these properties is experimentally costly and time consuming as they are often temperature and/or moisture dependent. This research conducts an inverse analysis on a multiscale homogenization food drying model to deduce the temporal diffusivity of intracellular water. A representation of the real cellular water breakdown was considered and appropriate assumptions to represent its cellular heterogeneity, in relation to time, were investigated. The work uncovered that a linear decrease in intracellular water content could be assumed and thus a function for its diffusivity was developed. The proposed function is in terms of sample temperature and intracellular water content opening the possibilities to be applied to various food materials.

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