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