Project description
HPC and the lightweight lattice Boltzmann scheme elucidate soft glasses’ dynamics
Characterising the complex dynamics of soft glass materials including fluid interfaces, disordered liquid-liquid emulsions and soft microfluidic droplet crystals is quite challenging. It is essential to many fields including materials engineering, food processing, tissue engineering and photonics. However, current models fail to accurately capture the intricate non-equilibrium thermodynamics. The ERC-funded LBFAST project will focus on optimising an efficient simulator of complex flows for implementation in high-performance computing clusters. Using LBcuda – an open-source software optimised for graphics processing units – to implement the so-called lightweight lattice Boltzmann scheme, the team expects to achieve a significant increase in processing capacity while slashing computational weight and energy use.
Objective
The intricate dynamics of fluid interfaces, disordered liquid-liquid emulsions, and soft microfluidic droplet crystals, collectively known
as soft glass materials (SGM), pose challenges to non-equilibrium thermodynamics and hold profound implications for engineering
applications such as combustion, materials design, and food processing. Advances in SGM modeling within the ERC COPMAT project
offer 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 droplet
coalescence including near-contact interactions (NCI) due to surfactants. Integrated into LBcuda, an open-source software optimized
for 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 of
several hundred GLUPS while using only 50% of computational resources, resulting in a 75% reduction in energy costs compared to
standard LB methods. This enhancement enables accelerated production rates for industrial applications and aligns with the criteria
of the EuroHPC Joint Undertaking, benefiting users addressing energy and environmental challenges in the next exascale computing
generation.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- natural sciencesphysical sciencesthermodynamics
- engineering and technologymaterials engineering
- natural scienceschemical sciencescatalysis
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Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Funding Scheme
HORIZON-ERC-POC - HORIZON ERC Proof of Concept GrantsHost institution
16163 Genova
Italy