Results

Deliverables

D5.2 Biomedical Halftime Report
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D6.1 Projects Setup
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D3.1 High-Level Events and Travel Grants (first year)
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D1.2 Recommendations for a Sustainable Cross Access for the Supercomputing Facilities
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D1.4 Mid-Term Report on the HANAMI Management
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D6.2 First Results and Sustainability Outlook
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D4.1 Development and Deployment of the HANAMI Earth System Model Workflow and Diagnostics Package
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D1.7 Follow-up of the Scientific Collaborations with Japanese Partners – 2
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D1.8 Follow-up of the Scientific Collaborations with Japanese Partners – 3
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D2.4 Communication and Dissemination Report
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D5.5 Intermediate Report on Scientific Advancements in Personalized Medicine at the Macroscopic Level
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D1.9 Follow-up of the Scientific Collaborations with Japanese Partners – 4
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D3.2 High-level events and travel grants (second year)
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D1.6 Follow-up of the Scientific Collaborations with Japanese Partners
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D4.3 Report on Detailed Work Plan for Extension of HPCW
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D1.3 | Report on the HANAMI Setup
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D5.1 Biomedical Project Setup Roadmap
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D7.1 Policymaker and Funder Engagement Plan
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D2.1 Project Image and Website Report
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D1.1 | Survey of Supercomputing Facilities Access Policy
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Publications

Structural, Electronic, and Optical Properties of Pb-Free Perovskites: Dimensional Evolution from Bulk to 2D Architectures
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Protective Role of Oxides on Pb-Free Halide Perovskite Surfaces: Interfacial Effects and Excitonic Optical Properties from First-Principles
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Low-Energy Defects and Oxidative Stability in Sn and Sn/Ge Perovskites from First-Principles Calculations
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Automated surgery planning for an obstructed nose by combining computational fluid dynamics with reinforcement learning
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Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations
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On the choice of physical constraints in artificial neural networks for predicting flow fields
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Replicability in Earth System Models
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Purple, white and pink gradient banner with the text "Surrogate modeling of fluid flow under different conditions using physics-informed Deep Operator Networks"
Surrogate modeling of fluid flow under different conditions using physics-informed Deep Operator Networks
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Wet-Surface Modeling in Lattice-Boltzmann Simulations for Evaluating Surgery Impacts on the Humidity Transfer in Nasal Flows
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Hydro Gym-GPU: From 2D to 3D Benchmark Environments for Reinforcement Learning in Fluid Flows
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Towards a widespread usage of computational fluid dynamics simulations for automated virtual nasal surgery planning
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Patient-specific lattice-Boltzmann simulations with inflow conditions from magnetic resonance velocimetry measurements for analyzing cerebral aneurysms
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Parallel Reinforcement Learning and Gaussian Process Regression for Improved Physics-Based Nasal Surgery Planning
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