Computational framework to integrate the effect of antigen recognition on disease epidemiology outcome: Multi-scale approach

2013 ◽  
Author(s):  
Sumanta Mukherjee ◽  
Nagasuma Chandra
Keyword(s):  
Antigen Recognition ◽  
Computational Framework ◽  
Disease Epidemiology ◽  
Multi Scale

A multi-scale computational framework for modeling the freeze-drying of microparticles in packed-beds

2019 ◽  
Vol 343 ◽  
pp. 834-846 ◽  
Author(s):  
Luigi C. Capozzi ◽  
Antonello A. Barresi ◽  
Roberto Pisano
Keyword(s):  
Freeze Drying ◽  
Packed Beds ◽  
Computational Framework ◽  
Multi Scale

Multi-Scale Virtual Reality of Sintering

2007 ◽  
Vol 534-536 ◽  
pp. 573-576
Author(s):  
Eugene Olevsky
Keyword(s):  
Global Scale ◽  
Initial State ◽  
Model Framework ◽  
Time Step ◽  
Computational Framework ◽  
Multi Scale ◽  
Scale Modeling ◽  
History Of ◽  
On Line ◽  
Damage Criteria

The directions of further developments in the modeling of sintering are pointed out, including multi-scale modeling of sintering, on-line sintering damage criteria, particle agglomeration, sintering with phase transformations. A true multi-scale approach is applied for the development of a new meso-macro methodology for modeling of sintering. The developed macroscopic level computational framework envelopes the mesoscopic simulators. No closed forms of constitutive relationships are assumed for the parameters of the material. When a time-step of the calculations is finished for one macroscopic element, the mesostructures of the next element are restored from the initial state according to the history of loading. The model framework is able to predict the final dimensions of the sintered specimen on a global scale and identify the granular structure in any localized area for prediction of the material properties.

scholarly journals Multi-scale approach for modeling stability, aggregation, and network formation of nanoparticles suspended in aqueous solutions

Nanoscale ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 3979-3992 ◽  
Author(s):  
Annalisa Cardellini ◽  
Matteo Alberghini ◽  
Ananth Govind Rajan ◽  
Rahul Prasanna Misra ◽  
Daniel Blankschtein ◽  
...  
Keyword(s):  
Aqueous Solutions ◽  
Network Formation ◽  
Computational Framework ◽  
Multi Scale ◽  
Coated Nanoparticles

Multi-scale computational framework to investigate interactions between bare and surfactant-coated nanoparticles in aqueous solutions beyond classical DLVO and aggregation theories.

A new computational framework for multi-scale ocean modelling based on adapting unstructured meshes

2008 ◽  
Vol 56 (8) ◽  
pp. 1003-1015 ◽  
Author(s):  
M. D. Piggott ◽  
G. J. Gorman ◽  
C. C. Pain ◽  
P. A. Allison ◽  
A. S. Candy ◽  
...  
Keyword(s):  
Unstructured Meshes ◽  
Computational Framework ◽  
Ocean Modelling ◽  
Multi Scale

Computational Framework for Modeling of Multi-Scale Processes

2006 ◽  
Vol 3 (3) ◽  
pp. 453-458 ◽  
Author(s):  
Alex V. Vasenkov ◽  
Alex I. Fedoseyev ◽  
Vladimir I. Kolobov ◽  
Hyuk Soon Choi ◽  
Ki-Ha Hong ◽  
...  
Keyword(s):  
Computational Framework ◽  
Multi Scale

scholarly journals TissueMiner: A multiscale analysis toolkit to quantify how cellular processes create tissue dynamics

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Raphaël Etournay ◽  
Matthias Merkel ◽  
Marko Popović ◽  
Holger Brandl ◽  
Natalie A Dye ◽  
...  
Keyword(s):  
Multiscale Analysis ◽  
Time Lapse ◽  
Convergent Extension ◽  
Cell Dynamics ◽  
Computational Framework ◽  
Cellular Processes ◽  
Multi Scale ◽  
Pupal Wing ◽  
Shape Changes

Segmentation and tracking of cells in long-term time-lapse experiments has emerged as a powerful method to understand how tissue shape changes emerge from the complex choreography of constituent cells. However, methods to store and interrogate the large datasets produced by these experiments are not widely available. Furthermore, recently developed methods for relating tissue shape changes to cell dynamics have not yet been widely applied by biologists because of their technical complexity. We therefore developed a database format that stores cellular connectivity and geometry information of deforming epithelial tissues, and computational tools to interrogate it and perform multi-scale analysis of morphogenesis. We provide tutorials for this computational framework, called TissueMiner, and demonstrate its capabilities by comparing cell and tissue dynamics in vein and inter-vein subregions of the Drosophila pupal wing. These analyses reveal an unexpected role for convergent extension in shaping wing veins.

scholarly journals Multiscale Modeling of Glacial Loading by a 3D Thermo-Hydro-Mechanical Approach Including Erosion and Isostasy

Geosciences ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. 465 ◽  
Author(s):  
Daniele Cerroni ◽  
Mattia Penati ◽  
Giovanni Porta ◽  
Edie Miglio ◽  
Paolo Zunino ◽  
...  
Keyword(s):  
Mechanical Response ◽  
Sedimentary Basin ◽  
Scale Model ◽  
Fine Scale ◽  
Computational Framework ◽  
Large Spatial Scale ◽  
Multi Scale ◽  
Ice Load ◽  
Mechanical Approach ◽  
Global Deformation

We present a computational framework that allows investigating the Thermo-Hydro- Mechanical response of a representative part of a sedimentary basin during a glaciation cycle. We tackle the complexity of the problem, arising by the mutual interaction among several phenomena, by means of a multi-physics, multi-scale model with respect to both space and time. Our contribution addresses both the generation of the computational grid and the algorithm for the numerical solution of the problem. In particular we present a multi-scale approach accounting for the global deformation field of the lithosphere coupled with the Thermo-Hydro-Mechanical feedback of the ice load on a representative part of the domain at a finer scale. In the fine scale model we also include the erosion possibly caused by the ice melting. This methodology allows investigating the evolution of the sedimentary basin as a response to glaciation cycle at a fine scale, taking also into account the large spatial scale movement of the lithosphere due to isostasy. The numerical experiments are based on the analysis of simple scenario, and show the emergence of effects due to the multi-physics nature of the problem that are barely captured by simpler approaches.

A computational framework for scale-bridging in multi-scale simulations

2016 ◽  
Vol 108 (13) ◽  
pp. 1649-1666 ◽  
Author(s):  
J. Knap ◽  
C. Spear ◽  
K. Leiter ◽  
R. Becker ◽  
D. Powell
Keyword(s):  
Computational Framework ◽  
Multi Scale ◽  
Scale Bridging
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