Shear thickening of dense suspensions: The role of friction

A new paper was published in Physics of Fluids by Vishnu Sivadasan, Eric Lorenz, Alfons G. Hoekstra, and Daniel Bonn.

Location-Specific Comparison Between a 3D In-Stent Restenosis Model and Micro-CT and Histology Data from Porcine In Vivo Experiments

P. S. Zun, A. J. Narracott, C. Chiastra, J. Gunn and A. G. Hoekstra have published a paper presenting a detailed location-specific validation methodology for in silico restenosis models.

A particle‑based model for endothelial cell migration under flow conditions

P. S. Zun, A. J. Narracott, P. C. Evans, B. J. M. van Rooij and A. G. Hoekstra have published an article on modelling endothelial cell migration under flow conditions.

Two open PhD positions in computational network science

We are seeking two PhD candidates for a computational network science position to work on an exciting research project in an interdisciplinary team. They will focus on the use of mathematical and computational methods to understand social and financial processes in...

Group Mission

We live in a highly connected and strongly coupled world, and are surrounded by a large diversity of complex systems. All these systems have one thing in common: they process information. We aim to understand this information processing in such dynamic multi-level complex systems.

Can we detect and describe the computational structure in dynamic processes and can we provide a quantitative characterization of essential aspects of this structure? When modeling for instance traffic in a city, the interactions between the individuals driving the cars, the bicycles, and pedestrians result in a dynamic self-organizing interaction structure, which is superimposed on the road network. This can be seen as a dynamical computational structure where information is exchanged, stored, and processed. What are the essential aspects of this structure, and how do they determine the way in which information is actually stored, transferred, and processed in complex systems? And what does that mean for the overall system behavior, that is, for their emergent properties? Can we then better understand emergent properties and critical phenomena such as tipping points? For instance, where do traffic jams come from, which all of sudden seem to appear from thin air? Or, can we get a deeper understanding of the systemic economic crises that struck us in 2008? Are we able to steer or control such emergent properties? What can we do to prevent traffic jams while maintaining the throughput on the road? Maybe by bringing down velocity, or slightly controlling the traffic entering a road on the individual car level? Or more dramatically, can we ‘nudge’ the behavior of countries, large companies, and/or individuals to fight the climate change? The ever increasing and abundant availability of data, both from science and society, drives our research. We study complex systems in the context of methods like multi-scale cellular automata, dynamic networks and individual agent based models. The challenges include data-driven modeling of multi-level systems and their dynamics as well as conceptual, theoretical and methodological foundations that are necessary to understand these processes and the associated predictability limits of such large-scale computer simulations.

“Nature is a Complex System that processes information. Computational Science aims to make the complexity of those systems tractable.”

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Twitter Feed (@UvA_CSL)

Peter Coveney just kicked off CompBioMed 2, we have a go, great!
@bio_comp @UvA_CSL

Mapping deprivation using #NeuralNetworks for #SDG Our new paper is out @UvA_CSL

Today Dr. Gábor Závodszky has presented on “Quantum gravity on a notebook - Reconstructing a piece of space-time in Python" at @UvA_IAS for #SbSclub and @UvA_CSL

In collaboration with the Paul Evans and Andrew Narracott from Sheffield, Pavel Zun published a very nice paper on endothelial cell migration under flow conditions in Biomechanics and Modeling in Mechanobiology

Vishnu Sivadasan from our lab, in collaboration with Daniel Bonn from the Soft Matter Group, published a great paper on the role of friction in shear thickening of dense suspension in Physics of Fluids,

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