ICAMS / Interdisciplinary Centre for Advanced Materials Simulation
more conferences »

Events

Discrete multiphysics: a mesh-free approach to multiphysics

Date: 27.02.2018
Time: 11:00 a.m.
Place: IC 02-722

Alessio Alexiadis, School of Chemical Engineering, University of Birmingham, Birmingham, UK

Models such as Smoothed Particle Hydrodynamics (SPH), Coarse Grained Molecular Dynamics (CGMD) or the Discrete Element Method (DEM) follow a similar mesh-free, particle-based paradigm and are particularly effective when coupled together. This possibility opens the door to a complete multiphysics approach based exclusively on mesh-free, particle-based, methods. In this talk, the theoretical foundation of the ‘Discrete Multiphysics’ technique1 is presented together with its advantages and disadvantages with respect of tradition, mesh based, multiphysics. Several applications, mainly from the biomedical field, are also presented and discussed2,3

References
1. Alexiadis (2015) PLoS ONE 10:e0124678.
2. Alexiadis (2014) Int J Num Meth Eng; 100:713–719
3. Alexiadis et al. (2017) Comput. Biol. Med. 81:188–198.

Biographical note:
Dr. Alessio Alexiadis is currently working as Senior Lecturer at the University of Birmingham on hybrid modelling and computer simulation. He accomplished his Ph.D. in 2001 at the Politecnico di Torino (Italy). Before Birmingham, he has worked at the École Nationale Supérieure des Mines de Paris (2001−2003), Max-Planck-Institut für Kohlenforschung (2003−2004), University of New South Wales (2004−2006), University of Cyprus (2006-2008), Washington University in St. Louis (2008-2010), KTH - Royal Institute of Technology (2010-2011) and University of Warwick (2012-2013). In 2008 he was awarded the Outgoing International Fellowship by the European Commission within the Marie Curie programme. He has published in various research fields including photocatalysis, multiphase flows, polymer dynamics, geopolymerization, membrane science, global warming, electrochemistry, micro- and nano-fluidics, molecular dynamics, biological flows, and hybrid modelling.

Supporting information:

Alexiadis_Seminar_2018.pdf
« back