Computational modeling of Complex Materials across the Scales CMCS 2019
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 35).
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
- Computational micromechanics
- Structure-property relations
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 microscale
- Non-separated scale problems and generalized continua
- Emergent phenomena
- 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 multiscale computations