The Electric Ant Lab is what you could call a "virtual rheology lab": we develop simulation models of complex fluids and run virtual experiments in the form of high-performance computer simulations. Supplemented by a network of experts, Electric Ant Lab brings state-of-the-art computational science to applications in the scientific community and industry.
Our mission is to bring together the Yin and the Yang: We develop state-of-the-art scientific methods further so that they can be applied to real-life problems in industry or other fields of research. At the same time, questions arising from applications will fertilize further research.
Focus and Expertise
Computational Rheology of Complex Fluids:
We are developing simulation models for the study of rheology and transport properties of complex fluids with examples ranging from (colloidal) hard suspensions like concrete, mud, oil sands, and pastes, to suspensions of deformable objects (e.g. full blood) flowing in complex geometries of any size from microfluidic devices to large mixers. We're dedicated to the development of high-fidelity simulation models that allow to shed a light on the origins of rheological effects (e.g. shear-thickening, yield stress, thixotropy, rheopecty) and transport properties (shear-induced diffusion, mixing and separation) with the goal to better understand and improve the performance of these materials in applications.
Multiscale Modeling Methods: Simulations of large-scale problems at the precision of microscale models can be tackled through multiscale methods. We develop coupled simulations resolving different scales for both, maximal realism, and optimal HPC resources utilization.
High-Performance Computing: Our computational models are developed with minimization of computational effort in mind. Still, for high-fidelity simulations there is no way around using HPC resources (ie big parallel computers). We have broad expertise in parallelization and optimization of simulation codes on shared-memory workstations as well as large compute clusters and supercomputers including the efficient use of accelerators such as GPGPU's. HPC is the key to compute high-fidelity virtual experiments in reasonable time.
Scientific Modeling Support
Stand-Alone Simulation Services
HPC Software Engineering