Physics informed algorithms for sensing and navigating turbulent environments

Project Information

RIDING

Grant agreement ID: 101002724

DOI 10.3030/101002724

EC signature date 15 July 2021

Start date 1 August 2021

End date 31 July 2026

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 1 973 485,00

EU contribution € 1 973 485,00

Coordinated by

UNIVERSITA DEGLI STUDI DI GENOVA
Italy

Publications

Peer reviewed articles (3)

Physics informed machine learning for wind speed prediction

Author(s): Daniele Lagomarsino-Oneto, Giacomo Meanti, Nicolo Pagliana, Andrea Verri, Andrea Mazzino, Lorenzo Rosasco, Agnese Seminara
Published in: Energy, 2023, ISSN 0360-5442
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.energy.2023.126628

Alternation emerges as a multi-modal strategy for turbulent odor navigation

Author(s): Gautam Reddy; Nicola Rigolli; Agnese Seminara; Massimo Vergassola
Published in: eLife, 2022, Page(s) 11:e76989, ISSN 2050-084X
Publisher: eLife Sciences Publications
DOI: 10.7554/elife.76989

Learning to predict target location with turbulent odor plumes.

Author(s): Nicola Rigolli; Nicodemo Magnoli; Lorenzo Rosasco; Agnese Seminara
Published in: eLife, 2022, Page(s) 0:e72196, ISSN 2050-084X
Publisher: eLife Sciences Publications
DOI: 10.7554/elife.72196