| Objective comparison of methods to decode anomalous diffusion G Muñoz-Gil, G Volpe, MA Garcia-March, E Aghion, A Argun, CB Hong, ... Nature communications 12 (1), 6253, 2021 | 145 | 2021 |
| Quantitative digital microscopy with deep learning B Midtvedt, S Helgadottir, A Argun, J Pineda, D Midtvedt, G Volpe Applied Physics Reviews 8 (1), 2021 | 104 | 2021 |
| Experimental realization of a minimal microscopic heat engine A Argun, J Soni, L Dabelow, S Bo, G Pesce, R Eichhorn, G Volpe Physical Review E 96 (5), 052106, 2017 | 97 | 2017 |
| Digital video microscopy enhanced by deep learning S Helgadottir, A Argun, G Volpe Optica 6 (4), 506-513, 2019 | 95 | 2019 |
| Non-Boltzmann stationary distributions and nonequilibrium relations in active baths A Argun, AR Moradi, E Pinçe, GB Bagci, A Imparato, G Volpe Physical Review E 94 (6), 062150, 2016 | 86* | 2016 |
| Roadmap for optical tweezers G Volpe, OM Maragò, H Rubinsztein-Dunlop, G Pesce, AB Stilgoe, ... Journal of Physics: Photonics 5 (2), 022501, 2023 | 66 | 2023 |
| Classification, inference and segmentation of anomalous diffusion with recurrent neural networks A Argun, G Volpe, S Bo Journal of Physics A: Mathematical and Theoretical 54 (29), 294003, 2021 | 45 | 2021 |
| Enhanced force-field calibration via machine learning A Argun, T Thalheim, S Bo, F Cichos, G Volpe Applied Physics Reviews 7 (4), 2020 | 29 | 2020 |
| Simulation of Complex Systems A Argun, A Callegari, G Volpe IOP Publishing, 2021 | 19 | 2021 |
| Experimental evidence of the failure of Jarzynski equality in active baths A Argun, AR Moradi, E Pince, GB Bagci, G Volpe arXiv preprint arXiv:1601.01123, 2016 | 6 | 2016 |
| Better stability with measurement errors A Argun, G Volpe Journal of Statistical Physics 163, 1477-1485, 2016 | 4 | 2016 |
| Playing with active matter AB Balda, A Argun, A Callegari, G Volpe arXiv preprint arXiv:2209.04168, 2022 | 3 | 2022 |
| Destructive effect of fluctuations on the performance of a Brownian gyrator P Viot, A Argun, G Volpe, A Imparato, L Rondoni, G Oshanin Soft Matter 20 (14), 3154-3160, 2024 | 1 | 2024 |
| Roadmap on Deep Learning for Microscopy G Volpe, C Wählby, L Tian, M Hecht, A Yakimovich, K Monakhova, ... ArXiv, 2023 | | 2023 |
Giovanni VolpePhysics Department, University of Gothenburg, Swedenכתובת אימייל מאומתת בדומיין physics.gu.se
