AIIC AI Intelligence Centre

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Taming Combustion Instabilities by Design Principles

CORDIS · observation · Publication date unknown

bustion chamber by designing the combustor close to the EP; and (C) quantify the design robustness by experiments at atmospheric and high-pressure conditions to learn design principles by explainable machine learning methods. As a result, TACOS will not only produce an unprecedented, computer-aided and optimization-centric design software for safe, robust and clean gas turbines, but will also open a new research field on design principles and amplify fundamental breakthroughs in CI research." Combustion Instabilities, Gas Turbines, High-fidelity Numerical Simulations, Experiments, Machine Learning

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recordType
award
status
SIGNED
region
EU
value
1499993
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.