Imagine trying to predict how a storm behaves, but the storm is made of super-heated gas and moves at incredible speeds. This project builds a digital super-simulator that can handle massive amounts of data to predict these movements perfectly. It's like upgrading from a handheld calculator to a supercomputer to design the next generation of clean energy and space tech.
Current plasma simulations are too slow or lack the precision to predict complex behaviors in fusion reactors and space environments. This prevents companies from designing efficient plasma-material interfaces and accelerators without expensive, trial-and-error physical prototyping.
Optimized versions of four flagship plasma codes (BIT, GENE, PIConGPU, Vlasiator) and a co-design methodology for the EPI Processor. These tools enable high-throughput analysis and AI-based data processing for extreme-scale simulations.
If you are a fusion energy plant developer dealing with unstable plasma containment — this project developed optimized simulation codes like GENE and BIT that allow for better optimization of magnetically confined plasmas. This reduces the risk of costly hardware failures during reactor testing.
If you are a plasma accelerator manufacturer dealing with inefficient particle beam design — this project developed high-performance simulation tools that help in designing next-generation plasma accelerators. This speeds up the R&D cycle for high-energy physics equipment.
If you are a space weather monitoring agency dealing with unpredictable solar winds affecting satellites — this project developed tools to predict space plasma dynamics in the Earth’s magnetosphere. This enables better protection of orbital assets from plasma interference.
Based on available project data, no specific pricing or commercial licensing costs are mentioned; the project is funded by an EU contribution of EUR 3,957,329.
Yes, the project specifically targets exascale and pre-exascale systems to handle 'extreme-scale' data and simulations, aiming for high parallel efficiency on EuroHPC systems.
Based on available project data, the specific IP and licensing terms are not detailed, though it aims to establish a community standard for kinetic plasma simulations.
The project uses a co-design methodology to integrate directly with the EPI Processor and accelerator developed by SiPearl, BSC, and FORTH.
The project period runs from 2023-01-01 to 2026-12-31.
The consortium is heavily weighted toward research and academia, with 4 universities and 5 research centers across 8 countries. However, it includes a strategic industrial component with 1 SME and a 10% industry ratio, specifically involving hardware developers like SiPearl to ensure the software is optimized for the actual EPI Processor hardware.
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