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RAISE

Research on AI- and Simulation-Based Engineering at Exascale

Grant period2021-01-01 - 2023-12-31
Funding bodyEuropean Union
Call numberH2020-INFRAEDI-2019-1
Grant number951733
IdentifierG:(EU-Grant)951733

Note: Compute- and data-driven research encompasses a broad spectrum of disciplines and is the key to Europe’s global success in various scientific and economic fields. The massive amount of data produced by such technologies demands novel methods to post-process, analyze, and to reveal valuable mechanisms. The development of artificial intelligence (AI) methods is rapidly proceeding and they are progressively applied to many stages of workflows to solve complex problems. Analyzing and processing big data require high computational power and scalable AI solutions. Therefore, it becomes mandatory to develop entirely new workflows from current applications that efficiently run on future high-performance computing architectures at Exascale. The Center of Excellence for Research on AI- and Simulation-based Engineering at Exascale (RAISE) will be the excellent enabler for the advancement of such technologies in Europe on industrial and academic levels, and a driver for novel intertwined AI and HPC methods. These technologies will be advanced along representative use-cases, covering a wide spectrum of academic and industrial applications, e.g., coming from wind energy harvesting, wetting hydrodynamics, manufacturing, physics, turbomachinery, and aerospace. It aims at closing the gap in full loops using forward simulation models and AI-based inverse inference models, in conjunction with statistical methods to learn from current and historical data. In this context, novel hardware technologies, i.e., Modular Supercomputing Architectures, Quantum Annealing, and prototypes from the DEEP project series will be used for exploring unseen performance in data processing. Best practices, support, and education for industry, SMEs, academia, and HPC centers on Tier-2 level and below will be developed and provided in RAISE's European network attracting new user communities. This goes along with the development of a business providing new services to various user communities.
   

Recent Publications

All known publications ...
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http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a book/Contribution to a conference proceedings  ;  ;  ;  ;
Predicting Turbulent Boundary Layer Flows Using Transformers Coupled to the Multi-Physics Simulation Tool m-AIA
Proceedings of the 35th Parallel CFD International Conference 2024 / Lintermann, A. (Editor), Herff, S. S. (Editor), Göbbert, J. H. (Editor)
35. Parallel CFD International Conference 2024, ParCFD 2024, BonnBonn, Germany, 2 Sep 2024 - 4 Sep 20242024-09-022024-09-04 Jülich : Forschungzentrum Jülich, Schriften des Forschungszentrums Jülich. IAS series 69, 76-79 () [10.34734/FZJ-2025-02459]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article/Contribution to a conference proceedings  ;  ;
Surrogate Modeling for Active Drag Reduction in Turbulent Boundary Layer Flows Using Multitask Gaussian Process Regression
94. Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), GAMM 2024, MagdeburgMagdeburg, Germany, 18 Mar 2024 - 22 Mar 20242024-03-182024-03-22 Proceedings in applied mathematics and mechanics : PAMM 24(4), e202400186 () [10.1002/pamm.202400186] special issue: "Special Issue: 94th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) / Issue Edited by: H. Altenbach, P. Benner, C. Böhm, C. Daniel, S. Glas, J. Heiland, D. Juhre, T. Richter, J. Saak, M. Schmidtchen, J. Waimann, E. Woschke, M. Kaliske"  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article/Contribution to a conference proceedings  ;  ;  ;
Surrogate‐based optimization for active drag reduction of turbulent boundary layer flows
93. Annual Meeting of the International Association of Applied Mathematics and Mechanics, GAMM 2023, DresdenDresden, Germany, 30 May 2023 - 2 Jun 20232023-05-302023-06-02 Proceedings in applied mathematics and mechanics : PAMM 23(4), e202300190 () [10.1002/pamm.202300190] special issue: "Special Issue: 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) / Issue Edited by: M. Beitelschmidt, Ch. Böhm, K. Eckert, J. Fröhlich, M. Kästner, S. Löhnert, S. Neukamm, O. Sander, M. Schmidtchen, A. Voigt, J. Waimann, T. Wallmersperger, M. Kaliske"  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

All known publications ...
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 Record created 2021-10-10, last modified 2023-02-11
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