Computational Modeling of Complex Materials across the Scales (CMCS)
Pablo A. Kler
pabloakler at gmail.com
Mon Feb 18 12:46:25 -03 2019
lugar: Glasgow, Escocia.
The international ECCOMAS Thematic Conference “Computational Modeling of
Complex Materials across the Scales (CMCS)” will take place on 1-4 October
2019 in Glasgow, UK.
The objective of CMCS is to elucidate cutting-edge developments in
multi-scale computational modelling of complex materials, possessing
distinct fine-scale structure and/or exhibiting coupled phenomena.
Particular emphasis is on emergent coarse-scale behaviour due to the
underlying fine-scale structure. CMCS thus focuses on both the
(experimentally informed) modelling of complex fine-scale structural
phenomena, and on their upscaling to coarser scales. CMCS will gather
scientists from different disciplines working on scale-bridging challenges
in complex materials to advance the field significantly. CMCS will foster
inspiring and rewarding discussion and will serve as a platform for
establishing and nurturing links between researchers.
The format of CMCS consists of invited lectures by experts in the field. In
addition, there will be a limited number of contributed poster
presentations by emerging young investigators (PhD students in all stages
of their PhD programs, postdocs and young researchers, under the age of
Prospective contributors of poster presentations are invited to submit a
mini-abstract by 8th March 2019 using the following link. Authors of
accepted poster presentations will be informed by 8th April 2019.
Heterogeneous solids and structures
Multi-scale modeling methodologies
Scientific/technical areas covered
The topics addressed in this colloquium will include:
Space/time computational homogenization
Simulation of complex (multiphysics, multi-field) phenomena at the
Non-separated scale problems and generalized continua
Modeling of interfaces
Microcracking simulation, advanced algorithms for complex microstructures
e.g. arising from experimental imagery
Advanced methodologies combining experiments and numerical simulations for
of microscale phenomena and their upscaled behavior
Efficient computational methodologies to reduce computing times in
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