Overview

Innovation title

MPflow™ – Physics-Aware AI for Multiphase CFD

TRL

6

Sector

Service provider

Location

Kalamata, Greece

Website

Innovation description

Physics-aware AI that transforms complex multiphase CFD from hours of computation into actionable predictions in seconds.

MPflow is a physics-aware AI platform for accelerating high-fidelity Computational Fluid Dynamics (CFD) simulations of complex multiphase flows. It combines validated CFD models with machine-learning surrogate models to predict key flow quantities such as pressure, velocity, temperature and phase distribution in seconds rather than hours.
The technology is particularly suited to hydrogen and clean-energy applications, including high-pressure and cryogenic hydrogen releases, storage, transport, refuelling and safety analysis. MPflow® enables faster design iterations, optimisation and risk assessment while substantially reducing computational requirements.

MPflow™

More information

About 

MultiFluidX is a deep-tech engineering company developing advanced Computational Fluid Dynamics (CFD) and physics-aware AI technologies for complex multiphase flows. We combine high-fidelity simulation with machine learning to accelerate engineering analysis and support safer, more efficient and sustainable technologies, with particular expertise in hydrogen, clean energy and industrial applications.

Intellectual property status

  • Trade secret

Maturity of innovation

Acquisition of early adopters

Kostas Lyras

Scientific advisor

Partnership opportunities

We are looking for industrial and technology partners in hydrogen production, storage, transport, refuelling and safety, as well as clean-energy and process-industry applications involving complex multiphase flows. We are particularly interested in partners with real operating systems, experimental facilities and validation data for pilot demonstrations and technology validation. We also welcome collaboration with engineering companies, equipment manufacturers, research organisations and HPC/AI technology providers interested in integrating advanced CFD and physics-aware AI into their design and optimisation workflows.

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