CFD & ML for Sustainable Engineering
MCTI/CNPq nº 16/2024
Workshop on CFD & ML for Sustainable Engineering – 2026
August 14, 2026
The workshop Computational Fluid Dynamics and Machine Learning for Addressing Sustainable Engineering Challenges aims to share knowledge being developed within the internationalization project supported by CNPq: Computational Fluid Dynamics and Machine Learning for Sustainable Engineering, carried out in collaboration with the Lattice Boltzmann Research Group from the Karlsruhe Institute of Technology. Topics related to Machine Learning (ML) applied to Computational Fluid Dynamics (CFD) will be covered, as well as the Lattice-Boltzmann Method (LBM), which has proven suitable for generating data to train ML models. The OpenLB software, a free and open-source code based on LBM, will be presented.
Research Group: Grupo de Pesquisa em Reologia, Escoamentos, Energia e Sustentabilidade – GPREES
Project: Computational Fluid Dynamics and Machine Learning for Sustainable Engineering - CFDSUSTAIN
Executive Committee
Flávia Schwarz Franceschini Zinani IPH/UFRGS- Guilherme Henrique Fiorot PROMEC/UFRGS
- Marcio Dorn INF/CBIOT/UFRGS
Speakers
Florian Kaiser LBRG/KIT- Eduardo Cunegatto PPGCA/UNISINOS
- Alexandre de Quadro Tacques Filho PPGC/UFRGS
- Flávia Schwarz Franceschini Zinani IPH/UFRGS
- Leonardo da Luz Dorneles PPGC/UFRGS
- Márcio Dorn INF/UFRGS
- Kristian Nascimento Telöken PROMEC/UFRGS
Venue
Center for Biotechnology
Building 43421 - Auditorium
Federal University of Rio Grande do Sul
Av. Bento Gonçalves 9500
91509-900 - Porto Alegre, RS - Brazil