Timing of fungal spore release dictates survival during atmospheric transport D Lagomarsino Oneto, J Golan, A Mazzino, A Pringle, A Seminara Proceedings of the National Academy of Sciences 117 (10), 5134-5143, 2020 | 63 | 2020 |
Physics informed machine learning for wind speed prediction D Lagomarsino-Oneto, G Meanti, N Pagliana, A Verri, A Mazzino, ... Energy, 126628, 2023 | 6* | 2023 |
A zero cost experiment on the ‘impulse-momentum theorem’ S Ganci, DL Oneto Physics Education 52 (1), 013002, 2016 | 6 | 2016 |
Increasing the skill of short-term wind speed ensemble forecasts combining forecasts and observations via a new dynamic calibration G Casciaro, F Ferrari, D Lagomarsino-Oneto, A Lira-Loarca, A Mazzino Energy 251, 123894, 2022 | 5 | 2022 |
Maximum range of a projectile launched from a height h: a non-calculus treatment S Ganci, D Lagomarsino European Journal of Physics 35 (4), 045026, 2014 | 4 | 2014 |
Differences in spore size and atmospheric survival shape stark contrasts in the dispersal dynamics of two closely related fungal pathogens JJ Golan, DL Oneto, S Ding, R Kessenich, M Sandler, TA Rush, D Levitis, ... Fungal Ecology 66, 101298, 2023 | 2 | 2023 |
A machine learning approach to achieve accurate time series forecast of sea-wave conditions G Cremonini, G Besio, D Lagomarsino, A Seminara EGU General Assembly Conference Abstracts, 22666, 2020 | | 2020 |