AI-based Learning for Physical Simulation

Project Information

ALPS

Grant agreement ID: 101039481

DOI

10.3030/101039481

EC signature date 31 May 2022

Start date 1 September 2022

End date 31 August 2027

Funded under

• European Research Council (ERC)

Total cost

€ 1 315 000,00

EU contribution

€ 1 315 000,00

Coordinated by

AARHUS UNIVERSITET
Denmark

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (4)

Machine learning-based optimal design of fibrillar adhesives

Author(s): Mohammad Shojaeifard, Matteo Ferraresso, Alessandro Lucantonio, Mattia Bacca
Published in: Journal of The Royal Society Interface, Issue 22, 2025, ISSN 1742-5662
Publisher: The Royal Society
DOI: 10.1098/RSIF.2024.0636

Symbolic regression of data-driven reduced order model closures for under-resolved, convection-dominated flows

Author(s): Simone Manti, Ping-Hsuan Tsai, Alessandro Lucantonio, Traian Iliescu
Published in: Journal of Computational Physics, Issue 540, 2025, ISSN 0021-9991
Publisher: Elsevier BV
DOI: 10.1016/J.JCP.2025.114298

Knowledge-Guided Symbolic Regression for Interpretable Camera Calibration

Author(s): Rui Pimentel de Figueiredo
Published in: Journal of Imaging, Issue 11, 2025, ISSN 2313-433X
Publisher: MDPI AG
DOI: 10.3390/JIMAGING11110389

Discovering interpretable physical models using symbolic regression and discrete exterior calculus

Author(s): Simone Manti; Alessandro Lucantonio
Published in: Machine Learning Science and Technology, Issue 5, 2024, ISSN 2632-2153
Publisher: IOP
DOI: 10.1088/2632-2153/ad1af2