POC

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HIGH-PERFORMANCE COMPUTING FOR HIGH-VALUE WEATHER FORECAST

The HERCULES project aims to develop detailed information on aeronautical meteorological conditions at departure and arrival airports, focusing on the vulnerability of Unmanned Aerial Vehicles (UAVs) to icing and adverse […]

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CLOUD-BASED HPC PLATFORM TO SUPPORT SYSTEMIC-PULMONARY SHUNTING PROCEDURES

Congenital heart diseases (CHDs) account for one-third of birth defects. Interventions and resources are needed to improve survival and quality of life. A proposed application experiment aims to support surgical […]

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AI-PLATFORM FOR AUTOMATED TRAINING OF OBJECT DETECTION MODELS BASED ON CAD DATA

Deep learning object detection is increasingly used in industrial applications, but its training requires a huge number of images and the objects that can be recognized are limited. This experiment […]

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CLOUD-BASED SIMULATION OF PEDESTRIAN URBAN MICROCLIMATE

The experiment aims to showcase a scalable infrastructure for Urban Physics Modelling using Open-Source software and HPC. It will enable SMEs to offer advanced UPM solutions, reduce times, and improve […]

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AI/ML COMPUTER VISION FOR THE NEXT GENERATION POULTRY FARMS

Researchers from consortium engaged poultry farms to understand their business challenges and propose an IoT-based management solution. They used HPC and deep learning AI to create prediction models for edge […]

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HIGH-PERFORMANCE AIR COOLED CONDENSER IN ANY WIND CONDITIONS

The experiment aims to develop a high-fidelity CFD procedure for windscreen design, create a digital twin of a plant with and without screens, link the digital twin to a payback […]

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ADVANCED HPC BASED DRUG DISCOVERY WITH CONVERGED DEEP PHYSICS AND AI

A unified HPC framework aims to reduce structure generation time, binding free energy calculation time, and computing costs in the pharmaceutical industry, reducing discovery time by 25% and costs by […]

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HPC SIMULATION IN AN ENDOURETHRAL SPHINCTER AGAINST URINARY INCONTINENCE

RELIEF is aiming to improve the device’s success rate by fine-tuning its distal stent size based on male/female urethral diameter. The goal is to avoid high pressure, tissue lacerations, and […]

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IMPROVING GRAPHENE-EPOXY MIXING RECIPES WITH HPC SIMULATIONS

This project uses HPC for optimizing parameters such as constituent type and ratio in epoxy-GO nanocomposites, to maximize their physical and mechanical properties. Parameters for a homogeneous repeatable producing process […]

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GEMINI: High Fidelity Modeling for Small Wind Turbine

FEAC will take advantage of the HPC infrastructure to predict the aerodynamic performance of wind turbines and provide accurate results in a reduced time. Based on EUNICE’s needs, the development […]