Following the success of previous editions, HANAMI is organising the 3rd edition of the High-Level Symposium on EU-Japan Collaboration in High-Performance Computing (HPC), to be held in November 2026 in Kittilä, Finland.   This event will gather leading experts, policymakers and researchers from Europe and Japan to exchange insights on the evolving landscape of HPC. Discussions will address strategic priorities, emerging challenges and scientific opportunities, with a particular focus on the scientific areas of climate and weather modelling, biomedical science and materials science.   Date: November 2-5 Location: Kittilä, Finland   The symposium will feature keynote speakers, panel discussions, and networking opportunities, fostering cooperation in cutting-edge HPC technologies and their applications across various industries.     Agenda  Please note that the agenda may be subject to change.           Keynote Speakers     Climate and Weather Modeling Mohamed Wahib RIKEN Center for Computational Science (R-CCS) Mohamed Wahib is a team principal (PI) of the “High Performance Artificial Intelligence Systems Research Team” at RIKEN Center for Computational Science (R-CCS), Kobe, Japan. Prior to that he worked as a senior scientist at AIST/TokyoTech Open Innovation Laboratory, Tokyo, Japan. His research interests revolve around the central topic of high-performance programming systems, in the context of HPC and AI. He is actively working on several projects including AI-based science, as well as high-level frameworks for programming traditional scientific applications.   Talk: ML Surrogates in Scientific Applications   Niclas Schroeter German Climate Computing Centre (DKRZ) Niclas Schroeter is a Research Software Engineer at the German Climate Computing Centre (DKRZ). His current work is focused mainly on the creation and maintenance of climate-specific benchmarks across multiple European projects, alongside the evaluation of novel architectures for climate and weather codes. Other research interests include storage-related topics and the improvement of scientific post-processing workflows.   Talk: HPCW: Making The Case for Domain-Specific Benchmarks   Pascale Braconnot CEA Pascale Braconnot is a CEA research director at Laboratoire de Sciences du Climat et de l’Environnement and Institut Pierre Simon Laplace in France. She is a specialist in climate modelling. Her research activities concern the physics of climate, air-sea coupling, climate change experiments, and ocean and vegetation feedbacks at different time scales, including paleoclimate. She is in charge of the French climate modelling infrastructure CLIMERI-France and is the current chair of the European modelling infrastructure ENES-RI executive board. She is leading the ENES-RISe European infrastructure project on services concerning climate HPC, data management and model evaluation. She contributed to or led several international working groups of the World Climate Research Programme (WCRP) and Future Earth, including the WCRP joint scientific committee. She has been involved as a lead author or review editor in the last three Intergovernmental Panel on Climate Change assessment reports.   Talk: Climate change uncertainties resulting from climate complexity and multiple time scales   Shin-ichiro Shima University of Hyogo Dr. Shin-ichiro Shima has been at the University of Hyogo since 2011 and became a professor in 2024. After completing his Ph.D. in nonlinear dynamics at Kyoto University in 2005, he became a research scientist at the Earth Simulator Center, Japan Agency for Marine-Earth Science and Technology. With an eye on the future of supercomputers, he developed novel numerical algorithms for multiscale-multiphysics phenomena at this supercomputer center and constructed the super-droplet method (SDM), a Lagrangian particle-based algorithm for cloud microphysics. Since then, he has been working on this topic to explore the potential of the particle-based cloud modeling method.   Talk: Multiscale Cloud Microphysics Modeling from Aerosols to Convection with the Super-Droplet Method     Materials Science Claudia Filippi University of Twente Claudia Filippi is a Professor in Computational Chemical Physics at the University of Twente, the Netherlands. She received her PhD from Cornell University in 1996. After a postdoc at the University of Illinois at Urbana-Champaign, she held academic positions at University College Cork and Leiden University before joining the University of Twente in 2009. She has made significant contributions to the development of quantum Monte Carlo methods, connecting accurate electronic-structure theory with multiscale modelling and applications to molecular and materials systems. She coordinated the European TREX Center of Excellence in Exascale Computing, leading the development of efficient, scalable software solutions for stochastic quantum chemistry.   Talk: Quantum Monte Carlo forces: from reference data to machine-learned models   Clément Richefort Jülich Supercomputing Centre Clément Richefort is a Postdoctoral Researcher at the Jülich Supercomputing Centre (JSC), where he specialises in bridging theoretical numerical linear algebra with HPC. He holds a PhD from the Université de Bordeaux, and his expertise spans sparse multigrid methods, iterative solvers, and GPU programming, developed through research collaborations with CEA and Lawrence Livermore National Laboratory. Currently, he works within the EU-Japan HANAMI collaboration, optimising the multi-GPU ChASE iterative eigensolver on the JUPITER exascale system for materials science applications. His latest research focuses on integrating the Ozaki Scheme II into ChASE to enable high-accuracy FP-GEMM operations utilising INT8 Tensor Cores.   Talk: Emulating flexible precision with Ozaki-II in iterative methods: the case of the ChASE library   Deborah Prezzi CNR-NANO in Modena Deborah Prezzi is a senior researcher at CNR-NANO in Modena, Italy. Her research focuses on the theoretical and computational modelling of materials, with particular emphasis on the connection between atomistic structure, electronic properties, spectroscopy, and functional behaviour. Over the years, she has worked on a broad range of low-dimensional and nanoscale systems, including carbon-based nanostructures, two-dimensional materials, and optoelectronic materials, often in close interplay with experimental spectroscopy. More recently, her interests have expanded to energy-storage materials, where automated atomistic simulations, data-generation workflows, and machine-learning approaches can provide new insights into complex electrochemical processes. In this direction, her work aims to combine physically grounded simulations with data-driven methods to interpret spectroscopic fingerprints and understand degradation, lithiation, and interfacial phenomena in battery materials.   Talk: Machine-learned spectroscopy for silicon batteries: from automated workflows to chemical insight   Katsuhisa Ozaki Shibaura Institute of Technology Katsuhisa Ozaki is a Professor in the Department of Mathematical Sciences at Shibaura Institute of Technology. He received his…