SciTransfer
MultiXscale · Project

High-Performance Simulation Tools for Complex Material and Biological Design

digitalTestedTRL 5

Imagine trying to understand how a giant bridge behaves by looking at a single atom; it's nearly impossible because the scales are too different. This work creates a digital bridge that lets scientists zoom in and out seamlessly, from tiny particles to full-sized products. It makes these massive calculations run faster and work on any supercomputer without needing to rewrite the code.

By the numbers
16
consortium partners
3
industrial pilot use cases
27
total deliverables
The business problem

What needed solving

Companies struggle to use supercomputers because the software is often too complex, written for only one specific machine, or requires rare expert skills to run.

The solution

What was built

A set of portable libraries and automated testing tools for multiscale simulations. These allow software to run on different exascale platforms without manual rewriting.

Audience

Who needs this

Aerospace engineersBattery chemistsBiomedical device designersMaterials science researchers
Business applications

Who can put this to work

Aerospace
enterprise
Target: Civil transport aircraft manufacturer

If you are a manufacturer dealing with helicopter design and certification — this project developed exascale-oriented workflows that speed up the simulation of complex flight components. This reduces the time needed for safety certification.

Energy Storage
any
Target: Battery technology developer

If you are a developer dealing with the sustainable energy transition — this project developed multiscale modelling tools for battery applications. This allows for better prediction of battery life and efficiency before building physical prototypes.

Healthcare
mid-size
Target: Medical device manufacturer

If you are a company dealing with non-invasive diagnostics — this project developed ultrasound simulation tools for biomedical applications. This helps in designing more accurate diagnostic equipment with less trial-and-error.

Frequently asked

Quick answers

What is the cost or pricing model for using these tools?

Based on available project data, no specific pricing or cost information is provided as this is an EU-funded research project.

Can this be scaled to industrial production levels?

Yes, the project specifically targets exascale computing and EuroHPC resources to ensure simulations can handle the massive data loads required by industry.

Who owns the IP and how is licensing handled?

Based on available project data, licensing details are not specified, though it aims to provide libraries and services for the wider scientific and industrial community.

How long does it take to integrate these tools into existing workflows?

The project focuses on 'portability' and 'productivity' to ensure that industrial users can adopt these technologies with minimal technical burden.

What is the timeline for the availability of the final tools?

The project period runs from 2023-01-01 to 2026-12-31, suggesting full delivery by the end of 2026.

Consortium

Who built it

The consortium is well-balanced for technology transfer, consisting of 16 partners across 8 countries. With 3 industrial partners (19% ratio) and 1 SME, there is a clear bridge between the 7 universities and 6 research centers, ensuring that the high-performance computing tools are grounded in real-world industrial needs.

How to reach the team

Contact Kemijski Institut in Slovenia

Next steps

Talk to the team behind this work.

Contact us to identify which of the 3 pilot use cases matches your R&D roadmap.