CORDIS Project
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This project aims to develop a machine learning-based approach to analyze multiphase flow systems, which are critical in various industries. By combining machine learning with fluid dynamics, it seeks to reduce costs and time in system analysis, enhancing design efficiency.
Multiphase flow (MF) is the simultaneous flow of materials with two or more thermodynamic phases. MF occurs in numerous settings: bioengineering, conventional and nuclear power plants, oil and gas production and transport, pharmaceutical industry, combustion engines, chemical industry, flows inside the human body, biological industry, and process technology, to name a few.
Researchers use experimental and theoretical techniques to study MF.
Experimental techniques are usually restricted to small…
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Ireland, Dublin
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
Ireland, Dublin 1
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
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