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HANAMI

Hpc AlliaNce for Applications and supercoMputing Innovation: the Europe - Japan collaboration

CoordinatorDi Napoli, Edoardo
Grant period2024-03-01 - 2027-02-28
Funding bodyEuropean Union
 CORDIS
Call numberHORIZON-EUROHPC-JU-2022-INCO-04-01
Grant number101136269
IdentifierG:(EU-Grant)101136269

Note: Supercomputers and high-performance computing (HPC) applications represent the forefront of digital technology and computing. They offer immense computing power essential for research and various processes. The EU-funded HANAMI project, recognising the potential of HPC and supercomputers, aims to unite a collaborative consortium comprising European and Japanese research organisations with a focus on HPC. Through this collaboration, research centres can expedite the development, design and optimisation of applications with unprecedented speed and efficiency for use across vital sectors such as medicine, environmental science, physics and other scientific disciplines. This collaboration will facilitate the exchange of technologies between Europe and Japan, thereby advancing AI, HPC and other critical technologies.
   

Recent Publications

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Diploma Best Paper Award: 15th lnternational Conference on Parallel Processing and Applied Mathematics (PPAM 2024)
PPAM 2024 Chairs of Program Committee   Download fulltextFulltext BibTeX | EndNote: XML, Text | RIS

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Towards a widespread usage of computational fluid dynamics simulations for automated virtual nasal surgery planning
Future generation computer systems 174, 107935 () [10.1016/j.future.2025.107935] OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings/Contribution to a book  ;  ;  ;
Wet-Surface Modeling in Lattice-Boltzmann Simulations for Evaluating Surgery Impacts on the Humidity Transfer in Nasal Flows
Proceedings of the 35th Parallel CFD International Conference 2024
35th Parallel CFD International Conference 2024, ParCFD 2024, BonnBonn, Germany, 2 Sep 2024 - 4 Sep 20242024-09-022024-09-04 Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich IAS Series 69, 158 - 162 () [10.34734/FZJ-2025-02479] OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings/Contribution to a book  ;  ;  ;  ;  ;
Creating a Virtual Population of the Human Nasal Cavity for Velocity-Based Predictions of Respiratory Flow Features Using Graph Convolutional Neural Networks
Proceedings of the 35th Parallel CFD International Conference 2024
35th Parallel CFD International Conference 2024, ParCFD 2024, BonnBonn, Germany, 2 Sep 2024 - 4 Sep 20242024-09-022024-09-04 Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich IAS Series 69, 80 - 83 () [10.34734/FZJ-2025-02460] OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings/Contribution to a book  ;  ;  ;  ;  ;  ;
Hydro Gym-GPU: From 2D to 3D Benchmark Environments for Reinforcement Learning in Fluid Flows
Proceedings of the 35th Parallel CFD International Conference 2024
35th Parallel CFD International Conference 2024, ParCFD 2024, BonnBonn, Germany, 2 Sep 2024 - 4 Sep 20242024-09-022024-09-04 Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich IAS Series 69, 57-63 () [10.34734/FZJ-2025-02455] OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

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Patient-specific lattice-Boltzmann simulations with inflow conditions from magnetic resonance velocimetry measurements for analyzing cerebral aneurysms
Computers in biology and medicine 187, 109794 () [10.1016/j.compbiomed.2025.109794] OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings/Contribution to a book  ;  ;  ;
Parallel Reinforcement Learning and Gaussian Process Regression for Improved Physics-Based Nasal Surgery Planning
Parallel Processing and Applied Mathematics
Parallel Processing and Applied Mathematics 2024, PPAM 2024, OstravaOstrava, Czech Republic, 8 Sep 2024 - 11 Sep 20242024-09-082024-09-11 Cham : Springer Nature Switzerland, Lecture Notes in Computer Science 15581, 79 - 96 ()  Download fulltext Files  Download fulltextFulltext BibTeX | EndNote: XML, Text | RIS

All known publications ...
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 Record created 2024-11-05, last modified 2025-02-04
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