Lattice Boltzmann For Advanced SimulaTions

The intricate dynamics of fluid interfaces, disordered liquid-liquid emulsions, and soft microfluidic droplet crystals, collectively knownas soft glass materials (SGM), pose challenges to non-equilibrium thermodynamics and hold profound implications for engineeringapplications such as combustion, materials design, and food processing. Advances in SGM modeling within the ERC COPMAT projectoffer opportunities for innovative mesoscale materials in fields like tissue engineering, photonics, and catalysis.The Lightweight Lattice Boltzmann (LB) scheme, which relies on hydrodynamic moments, models SGM by preventing dropletcoalescence including near-contact interactions (NCI) due to surfactants. Integrated into LBcuda, an open-source software optimizedfor GPUs, it efficiently simulates complex flows while saving electrical energy, in line with the goals of the European Green Deal.The LBFAST project aims to optimize LBcuda's implementation for HPC clusters powered by GPUs, achieving processing rates ofseveral hundred GLUPS while using only 50% of computational resources, resulting in a 75% reduction in energy costs compared tostandard LB methods. This enhancement enables accelerated production rates for industrial applications and aligns with the criteriaof the EuroHPC Joint Undertaking, benefiting users addressing energy and environmental challenges in the next exascale computinggeneration.