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MULTI-PHASE MODELLING OF NANOFLUID HYDRONIC SYSTEM

To maximize the nanofluid performances considering all intrinsic variables such as density, viscosity, electrical and heat conductivity, a multi-phase numerical model is proposed. Using HPC-based simulations it is possible to […]

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HPC-Based Engineering Design for Control of Smoke in Subway Tunnels

The experiment focuses on the development of a framework that combines on-demand remote HPC resources with advanced open-source CFD software like HELYX to simulate large models of a subway node […]

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TOPOLOGY OPTIMIZATION OF MICRO-CHANNEL HEAT-EXCHANGERS

TOLOMHE, a SaaS platform, integrates computational tools for topology optimization in an HPC-centric framework for SMEs specialized in AM for Micro Channel Heat Exchangers, offering cloud services for quick solution […]

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POWER SYSTEMS MAINTENANCE PLANNING FOR ENERGY TRANSITION

Power plant maintenance planning is crucial for energy producers, especially in the renewable energy transition. Artelys is developing Monte-Carlo simulations to automate the analysis process, optimizing maintenance plans while accounting […]

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MULTI-HEAD ADDITIVE MANUFACTURING WITH OPTIMAL HPC THERMAL STABILIZATION

For this project, Microtvornica simulated temperature distribution in 3D printers on HPC infrastructures, improving understanding and optimizing production, assembly, and calibration. Numerical simulation models predicted printer structure and motion, with […]

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MARKET INNOVATION SOURCING

The project aims to develop software that assists European manufacturers and retailers in detecting counterfeits, making informed assortment and pricing decisions, and identifying product innovations and trends early in the […]

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IMPROVING BETTAIR MAPS

The experiment aims to train AI Generative Adversarial Networks to mimic the output of HPC-CFD simulations at an affordable cost, adding them to Bettair’s map generation pipeline, to better understand […]

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HPC VESSEL MAINTENANCE OPTIMIZATION BY NATURAL LANGUAGE ASSISTANCE

FIGAL Innova and SREC Solutions developed a system to assist vessel operators for predictive maintenance of ship machinery. The partners optimize crew effort using Natural Language Understanding, an AI technology […]

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HPC-BASED NAVIGATION SYSTEM FOR MARINE LITTER HUNTING

GTS, an innovative start-up, uses HPC to optimize its sea litter recovery strategy, aiming to collect marine detritus, particularly plastics, with accurate spatial and time predictions. This innovative approach addresses […]

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MULTIPHYSICS AND MULTISCALE MODELLING OF AERONAUTICAL COMPONENTS

The autoclave process is the primary fabrication method for aerospace composites. It requires expensive trial-and-error to set a cure cycle for complex components. This experiment aimed to optimize the process […]