Electric Ant Lab
Scientific Modelling & Simulations

Virtual High-Fidelity Material Science

Electric Ant Lab is an independent private research laboratory providing contract-research consulting and simulation services in the field of rheology and transport of complex fluids. Complex fluids are everywhere. In many cases their behaviour is not fully understood and there is large potential for improvements and new applications. That's where we come in.

pharma mixer toothpasteferrofluid
foodstuff paint slurry pumping
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Examples of complex fluids with very specific rheology and transport properties: Pharmaceutical components in a mixer, care products, ferrofluids, foodstuff, paint, and slurries. Right: Snapshot of a simulation of a magneto-rheological fluid giving detailed insight into microstructure and how it can be improved for specific flow properties.

Deep Insight into Origins. High-fidelity simulations are extremely powerful tools to understand, predict, and improve the rheology and transport of complex fluids and their processing. They provide quantitative insight into the microstructural origins of rheological effects shown by many complex fluids. Existing material formulations can be better unserstood and new ones can be prototyped without elaborate synthesis and wet-lab experiments. EAL works at the forefront of this technology, pushing its boundaries, and translates it to solutions in scientific and industrial contexts.

Virtual Microfluidics Prototyping

Testing and Optimization of Blood-Processing Microfluidic Devices and Bio-Chips. One specific focus of our work lies on the detailed modeling of flow and transport of blood cells in microfluidic and biomedical devices. Our blood models not only fully resolve relevant physics down to the sub-micrometer scale but also include models for cell biochemistry such as for membrane receptors and factors that play an important role in cellular haemostasis. Using these models transport, adhesion, and aggregation of cells in blood vessels and microfluidic and organ-on-a-chip devices can be predicted.

Non-traditional CFD and High-Performance Computing

We develop state-of-the-art models based on Lattice-Boltzmann Methods (rooted in kinetic theory with deeper physics than just Navier-Stokes) and dynamically adapting rigid-body solvers. Our methods are highly optimized for High-Performance Computing on supercomputers to obtain highly-detailed results within reasonable times.

Partners

For research and access to HPC resources we collaborate with a number of partners including:

FP7 Fortissimo
University of Amsterdam
University of Amsterdam
Technical University Eindhoven
UnterlassLab TU Wien
Sanquin Research and Blood Bank
Lomonosov Moscow State University
SURFsara
HLRS Stuttgart