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CATEGORIES:Applied Mathematics Seminar Series
SUMMARY:Discrete Multiphysics for in-silico modelling of h
uman organs and other biological applications - A
lessio Alexiadis\, University of Birmingham
DTSTART:20200227T120000Z
DTEND:20200227T130000Z
UID:TALK4184AT
URL:/talk/index/4184
DESCRIPTION:The first part of the talk introduces Discrete Mul
tiphysics [1]: a hybrid computational technique ba
sed on the combination of discrete\, particle-base
d\, models such as Smoothed Particle Hydrodynamics
\, the Discrete Element Method and the Spring Latt
ice Model. Its advantages and disadvantages with r
espect traditional\, mesh-based\, multiphysics are
discussed. \nThe second part applies Discrete Mul
tiphysics to in-silico modelling oh human organs w
ith examples coming from cardiovascular flows [2]\
, deep venous thrombosis [3-4]\, the lungs [5] and
the intestine [6]. Other biological applications
(e.g. flows containing cells) are also discussed [
8].\nThe last part of the talk focuses on the comb
ination of Discrete Multiphysics with Machine Lear
ning and in particular Reinforcement Learning. The
computational-particles used in Discrete Multiphy
sics are linked to computational-neurons used in A
rtificial Intelligence algorithms. This new techni
que combines the advantage of multiphysics and mac
hine learning and it is particular well-suited to
model the effect of the autonomic nervous system i
n in-silico models of human organs [8]. \n\nRefer
ences\n[1] Alexiadis A.\, (2015) The Discrete Mult
i-Hybrid System for the simulation of solid-liquid
flows PLoS ONE 10(5): e0124678\n[2] Ariane M.\, A
llouche H.\, Bussone M.\, Giacosa F.\, Bernard F.\
, Barigou M.\, Alexiadis A. (2017) Discrete multip
hysics: a mesh-free approach to model biological v
alves including the formation of solid aggregates
at the membrane surface and in the flow PloS ONE 1
2(4): e0174795\n[3] Ariane\, M.\, Vigolo\, D.\, Br
ill\, A.\, Nash\, G. B.\, Barigou\, M.\, Alexiadis
\, A. (2018) Using Discrete Multi-Physics for stud
ying the dynamics of emboli in flexible venous val
ves Computers and Fluids 166:57–63\n[4] Ariane M.\
, Wen W.\, Vigolo D.\, Brill A.\, Nash G. B.\, Bar
igou M.\, Alexiadis A. (2017) Modelling and simula
tion of flow and agglomeration in deep veins valve
s using Discrete Multi Physics. Computers in Biolo
gy and Medicine 89: 96–103\n[5] Ariane M.\, Kassin
os S.\, Velaga S.\, Alexiadis A. (2018) Discrete m
ulti-physics simulations of diffusive and convecti
ve mass transfer in boundary layers containing mot
ile cilia in lungs Computers in Biology and Medici
ne 95:34–42\n[6] Alexiadis A.\, Stamatopoulos K.\,
Wen W.\, Bakalis S.\, Barigou M.\,Simmons M. (201
7) Using discrete multi-physics for detailed explo
ration of hydrodynamics in an in vitro colon syste
m Computers in Biology and Medicine 81:188–198\n[7
] Rahmat A.\, Barigou M.\, Alexiadis A. (2019) Def
ormation and rupture of compound cells under shear
: a Discrete Multiphysics Study Physics of Fluids
31:051903\n[8] Alexiadis A. (2019) Deep Multiphysi
cs: Coupling Discrete Multiphysics with Machine Le
arning to attain self-learning in-silico models re
plicating human physiology Artificial Intelligence
in Medicine 98:27-34\n
LOCATION:Biosciences 301
CONTACT:Fabian Spill
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