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DTSTART;TZID=Europe/Stockholm:20220627T133000
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UID:submissions.pasc-conference.org_PASC22_sess121@linklings.com
SUMMARY:MS1E - The Current State of High-Performance Cellular Flow Simulat
 ions: Can We Define a Consistent Vision? (Part I)
DESCRIPTION:Minisymposium\n\nWith the development of large-scale computing
  platforms, cellular flows can now be simulated by taking into account the
  deformations and interactions of individual cells. The continuous increas
 e in computational capacity enabled high-fidelity flow simulations employi
 ng detailed cell models to become a valuable complement to experimental st
 udies, giving access to more details and aiding in the design of microflui
 dic setups. Some of these developments happen in competition, and some ind
 ividually, around a diverse set of scientific questions. However, the func
 tionality overlap, the limits, and the differences of the proposed methods
  are not necessarily clear. This minisymposium aims to benefit our communi
 ty by setting the following goals: 1) to connect the prominent members of 
 the current bleeding edge research in cellular flow simulations and displa
 y the state of the art of these simulations 2) to provide a platform for a
 n open forum directed discussion after the presentations to deliberate on 
 the current limitations, necessary validations, overlaps and unique featur
 es in functionality, and upcoming targets in the development of these code
 s.\n\nQuantification of Material Properties and Stress-Free State of Human
  Erythrocytes, through Hierarchical Bayesian Inference\n\nEconomides, Amou
 druz, Arampatzis, Koumoutsakos\n\nComputational models of Red Blood Cells 
 (RBCs) require a stress-free state (SFS) to compute the shear stresses on 
 the membrane. However, the exact SFS of healthy RBCs is unknown and cannot
  be measured from current experimental techniques. In this work, we employ
  Hierarchical Bayesian Inference to cr...\n\n---------------------\nMultip
 hysics and Multiscale Modeling of Microthrombosis in COVID-19\n\nLi, Deng,
  Li, Gallastegi, Mantzoros...\n\nEmerging clinical evidence suggests that 
 thrombosis in the microvasculature of patients with Coronavirus disease 20
 19 (COVID-19) plays an essential role in dictating the disease progression
 . We employ a novel multiphysics and multiscale computational framework to
  investigate the underlying mechanism...\n\n---------------------\nCellula
 r Blood Flow Modeling with Smoothed Dissipative Particle Dynamics\n\nYe\n\
 nComputational modeling and simulation of cellular blood flow is highly de
 sired for understanding blood microcirculation and blood-related diseases 
 such as thrombosis and tumor, but it still remains challenging primarily b
 ecause blood in microvessels must be described as a dense suspension of di
 ffere...\n\n---------------------\nToward Multiscale Modelling of Blood Fl
 ow using CFD-DEM Techniques\n\nSaeedipour, Porcaro, Pirker\n\nModelling bl
 ood flow with the description of biophysics at the cellular level is essen
 tial for many bio-microfluidics applications. Despite the maturity of the 
 state-of-the-art cell-resolved simulation techniques for microscopic scale
 s, their applicability as a modelling tool for real-life engineeri...\n\n\
 nDomain: Engineering, Life Sciences
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