Project description
An AI suite for cryogenic boiling heat transfer for thermal efficiency
Cryogenic fluids are vital for medical imaging, cryosurgery, hydrogen infrastructure and quantum computing. However, prediction inaccuracies, with errors exceeding 50 %, force operation at only 70 % of the critical heat flux capacity. Supported by the Marie Skłodowska-Curie Actions programme, the PHAST project will develop an AI suite for cryogenic boiling heat transfer, integrating atomic-scale to macroscopic phenomena using physics-informed neural networks. It will also develop an open-source platform that combines molecular dynamics and continuum-scale solvers for accurate predictions. The project will enhance hydrogen and LNG efficiency, optimise helium management in MRI systems and support the development of quantum computers. The results will benefit the energy, healthcare and high-tech industries as well as advance EU clean energy goals.
Objective
PHAST delivers a physics-informed AI suite for cryogenic boiling heat transfer providing rapid, reliable predictions. Cryogenic fluids underpin critical technologies including medical imaging, cryosurgery, hydrogen infrastructure, and quantum computing, yet prediction inaccuracies prevent full potential exploitation. Current empirical models exhibit errors exceeding 50%, forcing operation at 70% of critical heat flux capacity.
PHAST establishes the first multiscale modelling suite integrating atomic-to-macroscopic phenomena using physics-informed neural networks. The objective is developing an open-source platform combining molecular dynamics, continuum-scale solvers, and experimental data for accurate heat transfer predictions.
Three work packages structure the methodology: nanoscale molecular dynamics simulations for realistic parameters and closure models; continuum-scale simulations generating validated databases mapping nitrogen boiling across operating regimes; and PHAST-Suite development where neural networks incorporate conservation laws for rapid predictions.
Results deliver cross-sector impact: improved hydrogen and LNG efficiency reducing energy consumption; optimized helium management in MRI systems and cryopreservation; accelerated quantum computer development. The open-source design enables extensions to other fluids, fostering scientific-industrial collaboration. PHAST addresses critical thermal science gaps, benefiting energy, healthcare, and high-tech industries while advancing research excellence, interdisciplinary training, international mobility, open science, and EU clean energy priorities.
Fields of science (EuroSciVoc)
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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(opens in new window) HORIZON-MSCA-2025-PF
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NG7 2RD Nottingham
United Kingdom
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