| Learning to flock through reinforcement M Durve, F Peruani, A Celani Physical Review E 102 (1), 012601, 2020 | 46 | 2020 |
| First-order phase transition in a model of self-propelled particles with variable angular range of interaction M Durve, A Sayeed Physical Review E 93 (5), 052115, 2016 | 44 | 2016 |
| Active particle condensation by non-reciprocal and time-delayed interactions M Durve, A Saha, A Sayeed The European Physical Journal E 41, 1-9, 2018 | 40 | 2018 |
| Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications M Durve, S Orsini, A Tiribocchi, A Montessori, JM Tucny, M Lauricella, ... The European Physical Journal E 46 (33), 1-7, 2023 | 23 | 2023 |
| DropTrack—Automatic droplet tracking with YOLOv5 and DeepSORT for microfluidic applications M Durve, A Tiribocchi, F Bonaccorso, A Montessori, M Lauricella, ... Physics of Fluids 34 (8), 2022 | 20 | 2022 |
| A fast and efficient deep learning procedure for tracking droplet motion in dense microfluidic emulsions M Durve, F Bonaccorso, A Montessori, M Lauricella, A Tiribocchi, S Succi Philosophical Transactions of the Royal Society A 379 (2208), 20200400, 2021 | 15 | 2021 |
| Tracking droplets in soft granular flows with deep learning techniques M Durve, F Bonaccorso, A Montessori, M Lauricella, A Tiribocchi, S Succi The European Physical Journal Plus 136 (8), 864, 2021 | 12 | 2021 |
| The crucial role of adhesion in the transmigration of active droplets through interstitial orifices A Tiribocchi, M Durve, M Lauricella, A Montessori, S Succi Nature Communications 14, 1096, 2023 | 9 | 2023 |
| Collective olfactory search in a turbulent environment M Durve, L Piro, M Cencini, L Biferale, A Celani Physical Review E 102 (1), 012402, 2020 | 8 | 2020 |
| Thread-safe lattice Boltzmann for high-performance computing on GPUs A Montessori, M Lauricella, A Tiribocchi, M Durve, M La Rocca, G Amati, ... Journal of Computational Science 74, 102165, 2023 | 7 | 2023 |
| Measuring arrangement and size distributions of flowing droplets in microchannels through deep learning using DropTrack M Durve, S Orsini, A Tiribocchi, A Montessori, JM Tucny, M Lauricella, ... Physics of Fluids 36 (2), 2024 | 3 | 2024 |
| Shapes and dynamic regimes of a polar active fluid droplet under confinement A Tiribocchi, M Durve, M Lauricella, A Montessori, D Marenduzzo, S Succi Physics of Fluids 35 (6), 2023 | 3* | 2023 |
| Dynamics of polydisperse multiple emulsions in microfluidic channels A Tiribocchi, A Montessori, M Durve, F Bonaccorso, M Lauricella, S Succi Physical Review E 104 (6), 065112, 2021 | 3 | 2021 |
| Learning of viscosity functions in rarefied gas flows with physics-informed neural networks JM Tucny, M Durve, A Montessori, S Succi Computers and Fluids 269 (2024), 106114, 2023 | 2 | 2023 |
| Density functional kinetic theory for soft matter S Succi, F Bonaccorso, M Durve, M Lauricella, A Montessori, A Tiribocchi INdAM Workshop The Legacy of Carlo Cercignani: from Kinetic Theory to …, 2021 | 2 | 2021 |
| Droplet shape representation using Fourier series and autoencoders M Durve, JM Tucny, D Bhamre, A Tiribocchi, M Lauricella, A Montessori, ... arXiv preprint arXiv:2403.15797, 2024 | 1 | 2024 |
| Spontaneous motion of a passive fluid droplet in an active microchannel A Tiribocchi, M Durve, M Lauricella, A Montessori, S Succi Soft matter 19 (34), 6556-6568, 2023 | 1 | 2023 |
| Multiscale Hybrid Modeling of Proteins in Solvent: SARS-CoV2 Spike Protein as test case for Lattice Boltzmann--All Atom Molecular Dynamics Coupling M Lauricella, L Chiodo, F Bonaccorso, M Durve, A Montessori, ... Communications in Computational Physics 33 (1), 57-76, 2023 | 1 | 2023 |
| Minimal droplet shape representation in experimental microfluidics using Fourier series and autoencoders M Durve, JM Tucny, S Orsini, A Tiribocchi, A Montessori, M Lauricella, ... arXiv preprint arXiv:2407.04863, 2024 | | 2024 |
| Lattice Boltzmann methods for soft flowing matter A Tiribocchi, M Durve, M Lauricella, A Montessori, JM Tucny, S Succi arXiv preprint arXiv:2405.14551, 2024 | | 2024 |
Sauro SucciIIT@La Sapienza and Research Affiliate Physics Dep. Harvard University在 iac.cnr.it 的电子邮件经过验证
