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.
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.
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.
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. Using these methods, mesoscopic physics such as thermal fluctuations, non-ideal gases, multi-component fluids and wetting properties can be naturally incorporated.