Difference between revisions of "Data Driven Modelling Special Interest Group"
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* machine learning (ML): combining CFD and ML, e.g., using ML models in CFD or deriving ML models from CFD data | * machine learning (ML): combining CFD and ML, e.g., using ML models in CFD or deriving ML models from CFD data | ||
| − | * data science: analyzing CFD data to guide modeling and decision making | + | * data science: analyzing CFD data to guide modeling and decision-making |
* data engineering: aggregating, storing, and processing CFD data | * data engineering: aggregating, storing, and processing CFD data | ||
The following list briefly summarizes our current objectives: | The following list briefly summarizes our current objectives: | ||
* short term objectives | * short term objectives | ||
| − | ** reduce the technical barrier to | + | ** reduce the technical barrier to getting started with data-driven modeling in OpenFOAM to enable more people to include data-driven workflows in their applications or research |
** promote data-driven techniques that are already available in OpenFOAM, e.g., dynamic mode decomposition (DMD) | ** promote data-driven techniques that are already available in OpenFOAM, e.g., dynamic mode decomposition (DMD) | ||
** promote third-party libraries for data-driven modeling that are based on or built for OpenFOAM | ** promote third-party libraries for data-driven modeling that are based on or built for OpenFOAM | ||
| Line 19: | Line 19: | ||
== Work process == | == Work process == | ||
| − | A detailed roadmap | + | A detailed roadmap and a collection of resources are available on [https://github.com/AndreWeiner/mlfoam Github]. The GitHub repository is also an excellent means to get in touch (e.g., via GitHub issues). Besides the repository, feel free to contact the SIG's chairs, [mailto:a.weiner@tu-braunschweig.de Andre Weiner] and [mailto:maric@mma.tu-darmstadt.de Tomislav Marić], or any other member of the SIG. |
== Meetings == | == Meetings == | ||
| − | We aim to have short virtual meetings (max. 1h) every '''two''' months and meet in person, if possible, at the OpenFOAM | + | We aim to have short virtual meetings (max. 1h) every '''two''' months and meet in person, if possible, at the OpenFOAM workshop. The bi-monthly meetings update all members about the recent progress and coordinate upcoming efforts. Everybody is welcome to join our meetings. Past and upcoming meetings are listed below: |
| − | * next virtual meeting: | + | * next virtual meeting: Feb 2024 |
| + | * Sep. 26 2023, online, [https://andreweiner.github.io/reveal.js/ofml_tc_8.html#/ slides] | ||
| + | * July 13 2023, in person, 18th OpenFOAM workshop, Genoa | ||
| + | * June 27 2023, online | ||
| + | * March 24 2023, online, [https://andreweiner.github.io/reveal.js/ofml_tc_6.html#/ slides] | ||
| + | * Jan. 30 2023, online, [https://andreweiner.github.io/reveal.js/ofml_tc_5.html#/ slides] | ||
| + | * Oct. 11 2022, online, [https://andreweiner.github.io/reveal.js/ofml_tc_4.html#/ slides] | ||
* July 21 2022, OpenFOAM-v2206 release webinar, [https://andreweiner.github.io/reveal.js/release_webinar_2206.html#/ slides] | * July 21 2022, OpenFOAM-v2206 release webinar, [https://andreweiner.github.io/reveal.js/release_webinar_2206.html#/ slides] | ||
* July 11 2022, in person, 17th OpenFOAM Workshop, Cambridge | * July 11 2022, in person, 17th OpenFOAM Workshop, Cambridge | ||
| − | * | + | * June 9 2022, online, [https://andreweiner.github.io/reveal.js/ofml_tc_3.html#/ slides] |
| − | * | + | * April 5 2022, online, [https://andreweiner.github.io/reveal.js/ofml_tc_2.html#/ slides] |
| − | * Feb 8 2022, online, [https://andreweiner.github.io/reveal.js/ofml_tc_1.html#/ slides] | + | * Feb. 8 2022, online, [https://andreweiner.github.io/reveal.js/ofml_tc_1.html#/ slides] |
| + | |||
| + | The following OpenFOAM+ML [https://github.com/OFDataCommittee/OFMLHackathon hackathons] have been organized by the special interest group: | ||
| + | |||
| + | * next hackathon: July 2024 | ||
| + | * Nov 08-10, 2023, virtual | ||
| + | * July 24-26, 2023, virtual | ||
| + | * Jan 23-25, 2023, virtual | ||
| + | * July 23-25, 2022, virtual | ||
== Members == | == Members == | ||
| Line 56: | Line 70: | ||
* '''Abhijeet Vishwasrao''', Ecole Polytechnique Paris | * '''Abhijeet Vishwasrao''', Ecole Polytechnique Paris | ||
* '''Alex Skillen''', The University of Manchester | * '''Alex Skillen''', The University of Manchester | ||
| + | * '''Ajay Bangalore Harish''', The University of Manchester | ||
* '''Chiara Pesci''', ESI | * '''Chiara Pesci''', ESI | ||
* '''Dirk Gründing''', private contributer | * '''Dirk Gründing''', private contributer | ||
Latest revision as of 08:51, 19 January 2024
Contents
Scope
For us, data-driven modeling comprises a variety of different topics, some of which are listed below:
- machine learning (ML): combining CFD and ML, e.g., using ML models in CFD or deriving ML models from CFD data
- data science: analyzing CFD data to guide modeling and decision-making
- data engineering: aggregating, storing, and processing CFD data
The following list briefly summarizes our current objectives:
- short term objectives
- reduce the technical barrier to getting started with data-driven modeling in OpenFOAM to enable more people to include data-driven workflows in their applications or research
- promote data-driven techniques that are already available in OpenFOAM, e.g., dynamic mode decomposition (DMD)
- promote third-party libraries for data-driven modeling that are based on or built for OpenFOAM
- long term objectives
- aid the understanding of when and how to use data-driven modeling in the CFD workflow
- accelerate developments and applications of data-driven approaches around OpenFOAM
- establish tested data-driven techniques as a natural element of CFD simulations to improve accuracy and/or speed
Work process
A detailed roadmap and a collection of resources are available on Github. The GitHub repository is also an excellent means to get in touch (e.g., via GitHub issues). Besides the repository, feel free to contact the SIG's chairs, Andre Weiner and Tomislav Marić, or any other member of the SIG.
Meetings
We aim to have short virtual meetings (max. 1h) every two months and meet in person, if possible, at the OpenFOAM workshop. The bi-monthly meetings update all members about the recent progress and coordinate upcoming efforts. Everybody is welcome to join our meetings. Past and upcoming meetings are listed below:
- next virtual meeting: Feb 2024
- Sep. 26 2023, online, slides
- July 13 2023, in person, 18th OpenFOAM workshop, Genoa
- June 27 2023, online
- March 24 2023, online, slides
- Jan. 30 2023, online, slides
- Oct. 11 2022, online, slides
- July 21 2022, OpenFOAM-v2206 release webinar, slides
- July 11 2022, in person, 17th OpenFOAM Workshop, Cambridge
- June 9 2022, online, slides
- April 5 2022, online, slides
- Feb. 8 2022, online, slides
The following OpenFOAM+ML hackathons have been organized by the special interest group:
- next hackathon: July 2024
- Nov 08-10, 2023, virtual
- July 24-26, 2023, virtual
- Jan 23-25, 2023, virtual
- July 23-25, 2022, virtual
Members
Andre Weiner
Tomislav Marić
Abhijeet Vishwasrao
Alex Skillen
Chiara Pesci
Dirk Gründing
François Mazen
Holger Marschall
Karthik Kashinath
Kutalmis Bercin
Nausheen Basha
Neil Ashton
Rahul Sundar
Reza Lotfi Navaei
Saeed Salehi
- Andre Weiner, Technical University of Braunschweig, chair
- Tomislav Marić, Technical University of Darmstadt, co-chair
- Abhijeet Vishwasrao, Ecole Polytechnique Paris
- Alex Skillen, The University of Manchester
- Ajay Bangalore Harish, The University of Manchester
- Chiara Pesci, ESI
- Dirk Gründing, private contributer
- François Mazen, Kitware
- Holger Marschall, Technical University of Darmstadt
- Karthik Kashinath, Nvidia
- Kutalmis Bercin, ESI-OpenCFD
- Nausheen Basha, Imperial College London
- Neil Ashton, Amazon Web Services
- Rahul Sundar, Indian Insitute of Technology, Madras
- Reza Lotfi Navaei, Tarbiat Modares University, Tehran
- Saeed Salehi, Chalmers University of Technology
If you would like to participate actively in this SIG, please get in touch.
