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Mihir Suneel Durve

Researcher
Multiscale and Quantum Simulations
Research center
About

Mihir Durve is a researcher at the Center for Life Nano & Neuro Science (CLN2S), IIT Rome, specialising in deep learning-based computer vision for microfluidic analysis. He is currently involved in the EIC Pathfinder-funded iNSIGHT project, automating in-air capsule production for precision nutrition.

Education

Title: Ph.D. (Physics)
Institute: University of Trieste and ICTP
Location: Trieste
Country: Italy
From: 2016 To: 2020

Skills

Machine learning - Reinforcement learning, computer vision, deep learning

HPC computing - Fortran90, Python, PyTorch, TensorFlow

Statistical physics - Active matter systems, far from equilibrium system modelling

All Publications
2025
Tiribocchi A., Durve M., Lauricella M., Montessori A., Tucny J.-M., Succi S.
Lattice Boltzmann simulations for soft flowing matter
Physics Reports, vol. 1105, pp. 1-52
2024
Bogdan M., Pineda J., Durve M., Jurkiewicz L., Succi S., Volpe G., Guzowski J.
Crystallization and topology-induced dynamical heterogeneities in soft granular clusters
Physical Review Research, vol. 6, (no. 3)
Article Journal
2024
Durve M., Tucny JM., Bhamre D., Tiribocchi A., Lauricella M., Montessori A., Succi S.
Droplet shape representation using fourier series and autoencoders
AIAA Journal, vol. 0, (no. 0), pp. 1-5
2024
Tucny J.-M., Durve M., Montessori A., Succi S.
Learning of viscosity functions in rarefied gas flows with physics-informed neural networks
Computers and Fluids, vol. 269
2024
Durve M., Orsini S., Tiribocchi A., Montessori A., Tucny J.-M., Lauricella M., Camposeo A., Pisignano D., Succi S.
Measuring arrangement and size distributions of flowing droplets in microchannels through deep learning using DropTrack
Physics of Fluids, vol. 36, (no. 2)
Article Journal