Learning to flock through reinforcement. - Mihir Durve; Fernando Peruani; Antonio Celani (CoRR, 2019)

DropTrack - automatic droplet tracking using deep learning for microfluidic applications. - Mihir Durve; Adriano Tiribocchi; Fabio Bonaccorso; Andrea Montessori; Marco Lauricella 001; Michal Bogdan; Jan Guzowski; Sauro Succi (CoRR, 2022)

Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications. - Mihir Durve; Sibilla Orsini; Adriano Tiribocchi; Andrea Montessori; Jean-Michel Tucny; Marco Lauricella 001; Andrea Camposeo; Dario Pisignano; Sauro Succi (CoRR, 2023)

Thread-safe lattice Boltzmann for high-performance computing on GPUs. - Andrea Montessori; Marco Lauricella 001; Adriano Tiribocchi; Mihir Durve; Michele La Rocca 002; Giorgio Amati; Fabio Bonaccorso; Sauro Succi (J. Comput. Sci., 2023)

Physics-informed neural networks for microflows: Rarefied gas dynamics in cylinder arrays. - Jean-Michel Tucny; Marco Lauricella 001; Mihir Durve; Gianmarco Guglielmo; Andrea Montessori; Sauro Succi (J. Comput. Sci., 2025)

Is the end of Insight in Sight ? - Jean-Michel Tucny; Mihir Durve; Sauro Succi (CoRR, 2025)