CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
This project develops a hybrid approach that combines machine learning and equation-based modeling to enhance physical simulations. By improving generalization in small-data scenarios and ensuring model intelligibility, it aims to advance applications in biology and soft robotics through a new software platform for aut…
Computational physical modeling is a key resource to complement theoretical and experimental methods in modern scientific research and engineering.
While access to large amount of data has favored the use of Artificial Intelligence and Machine Learning (ML) techniques to enhance physical simulations, limitations of purely data-driven methods have emerged as concerns their generalization capability and their intelligibility.
In particular, the latter feature promotes understanding, a fundamental…
AARHUS UNIVERSITET
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Italy, Pisa
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
Guests see up to 5 keywords.