CFD & ML for Sustainable Engineering

MCTI/CNPq nº 16/2024

Workshop on CFD & ML for Sustainable Engineering – 2025

June 26-27, 2025

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. Some examples will be solved in a hands-on session during the workshop.

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

Speakers

Venue

INF Event Center
Institute of Informatics - Building 43413
Federal University of Rio Grande do Sul
Av. Bento Gonçalves 9500
91501-970 - Porto Alegre, RS - Brazil

Program

Thursday (June 26, 2025)
08:15-08:30
INF/UFRGS - Building 43413 - Ground Floor Auditorium
Opening Section
Flávia Schwarz Franceschini Zinani
Guilherme Henrique Fiorot
Márcio Dorn
08:30- 10:00
INF/UFRGS - Building 43413 - Ground Floor Auditorium
Artificial Neural Networks and Machine Learning
Márcio Dorn
Alexandre de Quadro Tacques Filho
Leonardo da Luz Dorneles
10:00-10:30
Coffe Break
10:30-11:30
INF/UFRGS - Building 43413 - Ground Floor Auditorium
Physical Informed Neural Networks
Luiz José Schirmer Silva
11:30-12:30
INF/UFRGS - Building 43413 - Ground Floor Auditorium
Natural Flow and Mass Movements - Part 1
Guilherme Henrique Fiorot
12:30-13:30
Lunch
13:30-14:30
INF/UFRGS - Building 43413 - Ground Floor Auditorium
Natural Flow and Mass Movements - Part 2
Guilherme Henrique Fiorot
14:30-15:30
INF/UFRGS - Building 43413 - Ground Floor Auditorium
CFD Applied to Sea Wave Energy Conversion - Part 1
Flávia Schwarz Franceschini Zinani
15:30-16:00
Coffe Break
16:00-17:00
INF/UFRGS - Building 43413 - Ground Floor Auditorium
Introduction to LBM
Cirilo Seppi Bresolin
17:00-18:00
INF/UFRGS - Building 43413 - Ground Floor Auditorium
CFD Applied to Sea Wave Energy Conversion - Part 2
Flávia Schwarz Franceschini Zinani
Friday (June 27, 2025)
08:30-10:00
INF/UFRGS - Building 43413 - Ground Floor Auditorium
Introduction to OpenLB
Adrian Kummerländer
10:00-10:30
Coffe Break
10:30-11:30
INF/UFRGS - Building 43413 - Ground Floor Auditorium
Object Oriented Programming and C++
Andreas Celada
Leonardo da Luz Dorneles
11:30-12:30
INF/UFRGS - Building 43413 - Ground Floor Auditorium
OpenLB in Practice - Where Do I Start?
Luiz Eduardo Czelusniak
12:30-13:30
Lunch
13:30-15:30
INF/UFRGS - Building 43413 - Laboratory 103
Hands-on: Example Simulations with OpenLB - Part 1
Alexandre de Quadro Tacques Filho
Leonardo da Luz Dorneles
Andreas Scheuermann Celada
15:30-16:00
Coffee Break
16:00-17:45
INF/UFRGS - Building 43413 - Laboratory 103
Hands-on: Example Simulations with OpenLB - Part 2
Alexandre de Quadro Tacques Filho
Leonardo da Luz Dorneles
Andreas Scheuermann Celada
17:45-18:00
INF/UFRGS - Building 43413 - Ground Floor Auditorium
Closing Section
Flávia Schwarz Franceschini Zinani
Guilherme Henrique Fiorot
Márcio Dorn

Registration

The Brazilian Association of Engineering and Mechanical Sciences (ABCM) – Southern Region supports the workshop. ABCM will manage the registration process and payment receipt of the registration fee. ABCM members receive a 10% discount on the registration fee.

Category Standard Fee ABCM Member Fee (-10%)
Undergraduate Student R$ 60,00 R$ 54,00
Graduate Student R$ 80,00 R$ 72,00
Researcher/Professional R$ 100,00 R$ 90,00

The registration system will be available from 05/05/2025 until 24/06/2025.

Acknowledgement and Support

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