CORDIS Project
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This project develops a new framework that combines physical principles with machine learning to optimize fluid mechanics models. It aims to create adaptive models for complex flows, enhancing energy harvesting and reducing emissions in engineering applications.
About a hundred trillion bytes of data has been created in the world while reading this sentence.
Central to big data is machine learning, which is an automated way of transforming information into empirical knowledge.
Machine learning techniques have been applied to some fluid mechanics problems with success, but there are still three big open questions:
Do machine learning algorithms scale to engineering configurations? (Are they robust?);
Can we gain physical insight into the solutions? (Are…
POLITECNICO DI TORINO
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
United Kingdom, Cambridge
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
United Kingdom, LONDON
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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