I currently am a Postdoctoral Researcher working at the Istituto Italiano di Tecnologia, in Genova. I carry on my activity within the Atomistic Simulations group, where I use Molecular Dynamics, Machine Learning and ab-initio simulations to study catalytic processes.
Between 2021 and 2022 I worked as Postdoctoral Researcher at the Laboratory of Interdisciplinary Physics LIPh Lab at the University of Padova, Italy. I used statistical physics and computer simulations for the study of DNA oligomers populations, in an ecological context for investigating synthetic biodiversity, under the supervision of dr. S. Suweis and in collaboration with prof. T. Bellini’s group in Milan.
I got my Bachelor and Master degrees in Physics and my PhD in Physics (2017-2021) at the University of Milan with prof. Davide E. Galli. In particular, my research during PhD concerned computer simulations aimed at unveiling emergent properties in condensed matter, soft matter and complex systems. I addressed the fascinating issues of: 1) crystallization in supercooled liquid mixtures, 2) emergent properties of one-dimensional and two-dimensional soft matter, 3) stochastic simulation and analysis of electric resistor networks and 4) simulation of soft patchy particles binary mixtures phase behavior. The majority of these activities involved collaboration with groups of experimental physicists in Italy and in Germany.
I usually develop my own code in C++ and Python (for data analysis also with Jupyter Notebooks ); when a High Performance Computing approach is required, MPI and CUDA are my favourite choices. My main computational tools for discovery are Molecular Dynamics (especially LAMMPS and oxDNA ), Monte Carlo and Machine Learning.
mambretti.f@gmail.com
francesco.mambretti@iit.it
https://github.com/francescomambretti
Physics Department
Italian Institute of Technology
via Melen 83, Genova, Italy
https://orcid.org/0000-0002-3712-3595Publications
Peer-reviewed- Efficiency and controllability of stochastic Boolean function generation by a random networks of non-linear nanoparticle junction E. Tentori, G. Martini, M. Mirigliano, D.E. Galli, P. Milani, F. Mambretti Frontiers in Physics (2024)
- Crystal nucleation in supercooled atomic liquids J. Moeller, A. Schottelius, M. Caresana, U. Boesenberg, C. Kim, F. Dallari, T. A. Ezquerra, J. M. Fernandez, L. Gelisio, A. Glaesener, C. Goy, J. Hallmann, A. Kalinin, R. P. Kurta, D. Lapkin, F. Lehmkuhler, F. Mambretti, M. Scholz, R. Shayduk, F. Trinter, I. Vartaniants, A. Zozulya, D. E. Galli, G. Gruebel, A. Madsen, F. Caupin, R. E. Grisenti Physical Review Letters (2024)
- Synthetic Eco-Evolutionary Dynamics in Simple Molecular Environment L. Casiraghi, F. Mambretti, A. Tovo, E. M. Paraboschi, S. Suweis, T. Bellini eLife (2024)
- Structural transition, orientational order, and anomalous specific heat in a two-dimensional dimer crystal of core-softened particles D.Pini, F. Mambretti, T. Rovelli, D.E. Galli Physical Review E (2024)
- How Does Structural Disorder Impact Heterogeneous Catalysts? The Case of Ammonia Decomposition on Non-Stoichiometric Lithium Imide F. Mambretti, U. Raucci, M. Yang, M. Parrinello ACS Catalysis (2024)
- Dynamical stochastic simulation of complex electrical behavior in neuromorphic networks of metallic nanojunctions F. Mambretti, M.Mirigliano, E. Tentori, N. Pedrani, G. Martini, P. Milani and D.E. Galli Scientific Reports (2022)
- OxDNA to Study Species Interactions F. Mambretti, N. Pedrani, L. Casiraghi, E. M. Paraboschi, T. Bellini, and S.SuweisEntropy (2022)
- Low-temperature ordering of the dimer phase of a two-dimensional model of core-softened particles F. Mambretti, M. Martinelli, F. Civillini, M. Bertoletti, S. Riva, N. Manini, D. E. Galli, and D. Pini Physical Review E (2021)
- Emergence of an Ising critical regime in the clustering of one-dimensional soft matter revealed through string variables F. Mambretti, S. Molinelli, D. Pini, G. Bertaina, and D. E. Galli Physical Review E (2020)
- Crystal growth rates in supercooled atomic liquid mixtures A. Schottelius, F. Mambretti, A. Kalinin, B. Beyersdorff, A. Rothkirch, C. Goy, J. Müller, N. Petridis, M. Ritzer, F. Trinter, J. M. Fernández, T. A. Ezquerra, D. E. Galli and R. E. Grisenti Nature Materials (2020)
- Microscopic investigation of the crystallization slowdown in supercooled liquid mixtures. F. Mambretti, R. E. Grisenti and D. E. Galli, Contribution to the Cineca HPC Report 2017, ISBN 978-88-86037-38-9 (2017)
Teaching/tutoring
- Measurement of nanoscale interactions in biological systems and data analysis University of Milano, Master Degree in Quantitative Biology from 11/2020 - 01/2021; 11/2021 - 01/2022; 11/2022 - 01/2023
- Laboratorio di Simulazione Numerica University of Milano, Master Degree in Physics March 2020 - June 2020; March 2019 - June 2019
- Laboratorio di Trattamento Numerico dei Dati Sperimentali University of Milano, Bachelor Degree in Physics 10/2022 - 1/2023; 10/2020 - 1/2021; 10/2019-1/2020; 10/2018 - 1/2019
- Tutor @Camplus college Mathematics and Physics, Camplus Milano Città Studi May 2015 - present; @Camplus Milano Humanitas since October 2021.