DropTrack—Automatic droplet tracking with YOLOv5 and DeepSORT for microfluidic applications von Durve, Mihir, Tiribocchi, Adriano, Bonaccorso, Fabio, Montessori, Andrea, Lauricella, Marco, Bogdan, Michał, Guzowski, Jan, Succi, Sauro

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Minimal droplet shape representation in experimental microfluidics using Fourier series and autoencoders von Durve, Mihir, Tucny, Jean-Michel, Orsini, Sibilla, Tiribocchi, Adriano, Montessori, Andrea, Lauricella, Marco, Camposeo, Andrea, Pisignano, Dario, Succi, Sauro

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Measuring arrangement and size distributions of flowing droplets in microchannels through deep learning using DropTrack von Durve, Mihir, Orsini, Sibilla, Tiribocchi, Adriano, Montessori, Andrea, Tucny, Jean-Michel, Lauricella, Marco, Camposeo, Andrea, Pisignano, Dario, Succi, Sauro

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Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications von Durve, Mihir, Orsini, Sibilla, Tiribocchi, Adriano, Montessori, Andrea, Tucny, Jean-Michel, Lauricella, Marco, Camposeo, Andrea, Pisignano, Dario, Succi, Sauro

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Crystallization and topology-induced dynamical heterogeneities in soft granular clusters von Bogdan, Michał, Pineda, Jesus, Durve, Mihir, Jurkiewicz, Leon, Succi, Sauro, Volpe, Giovanni, Guzowski, Jan

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Active particle condensation by non-reciprocal and time-delayed interactions von Durve, Mihir, Saha, Arnab, Sayeed, Ahmed

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Spontaneous motion of a passive fluid droplet in an active microchannel von Tiribocchi, Adriano, Durve, Mihir, Lauricella, Marco, Montessori, Andrea, Succi, Sauro

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Lattice Boltzmann simulations for soft flowing matter von Tiribocchi, Adriano, Durve, Mihir, Lauricella, Marco, Montessori, Andrea, Tucny, Jean-Michel, Succi, Sauro

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Droplet Shape Representation Using Fourier Series and Autoencoders von Durve, Mihir, Tucny, Jean-Michel, Bhamre, Deepesh, Tiribocchi, Adriano, Lauricella, Marco, Montessori, Andrea, Succi, Sauro

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A fast and efficient deep learning procedure for tracking droplet motion in dense microfluidic emulsions von Durve, Mihir, Bonaccorso, Fabio, Montessori, Andrea, Lauricella, Marco, Tiribocchi, Adriano, Succi, Sauro

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Learning of viscosity functions in rarefied gas flows with physics-informed neural networks von Tucny, Jean-Michel, Durve, Mihir, Montessori, Andrea, Succi, Sauro

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Tracking droplets in soft granular flows with deep learning techniques von Durve, Mihir, Bonaccorso, Fabio, Montessori, Andrea, Lauricella, Marco, Tiribocchi, Adriano, Succi, Sauro

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Thread-safe lattice Boltzmann for high-performance computing on GPUs von Montessori, Andrea, Lauricella, Marco, Tiribocchi, Adriano, Durve, Mihir, La Rocca, Michele, Amati, Giorgio, Bonaccorso, Fabio, Succi, Sauro

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Machine learning assisted droplet trajectories extraction in dense emulsions von Durve, Mihir, Tiribocchi, Andriano, Montessori, Andrea, Lauricella, Marco, Succi, Sauro

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tapered_channel.mp4 from A fast and efficient deep learning procedure for tracking droplet motion in dense microfluidic emulsions von Durve, Mihir, Bonaccorso, Fabio, Montessori, Andrea, Lauricella, Marco, Tiribocchi, Adriano, Succi, Sauro

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simple_channel.mp4 from A fast and efficient deep learning procedure for tracking droplet motion in dense microfluidic emulsions von Durve, Mihir, Bonaccorso, Fabio, Montessori, Andrea, Lauricella, Marco, Tiribocchi, Adriano, Succi, Sauro

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Density Functional Kinetic Theory for Soft Matter von Succi, Sauro, Bonaccorso, Fabio, Durve, Mihir, Lauricella, Marco, Montessori, Andrea, Tiribocchi, Adriano

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Learning of viscosity functions in rarefied gas flows with physics-informed neural networks von Tucny, Jean-Michel, Durve, Mihir, Montessori, Andrea, Succi, Sauro

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Droplet shape representation using Fourier series and autoencoders von Durve, Mihir, Tucny, Jean-Michel, Bhamre, Deepesh, Tiribocchi, Adriano, Lauricella, Marco, Montessori, Andrea, Succi, Sauro

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Machine learning assisted droplet trajectories extraction in dense emulsions and their analysis von Durve, Mihir, Tiribocchi, Adriano, Montessori, Andrea, Lauricella, Marco, Succi, Sauro

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