Dipartimento di Fisica
Università di Trieste
Strada Costiera 11
34151 Trieste (Italy)
Phone: +39 040 2240263
My research interests deal with the physics of disordered systems, with the focus on supercooled liquids and glasses. I am also interested in modelling the phase behavior, structure and dynamics of soft condensed matter. My work is based on statistical physics methods, computer simulations and some tools borrowed from data science.
Recent papers and seminars¶
"Dimensionality reduction of local structure in glassy binary mixtures"
D. Coslovich, R. Jack, J. Paret, The Journal of Chemical Physics 157, 204503 (2022)
"Revisiting the single-saddle model for the $\beta$-relaxation of supercooled liquids"
D. Coslovich, A. Ikeda, The Journal of Chemical Physics 156, 094503 (2022)
"partycls: A Python package for structural clustering"
J. Paret, D. Coslovich, Journal of Open Source Software 6, 3723 (2021)
"Dimensionality reduction of structure in glassy liquids"
Machine Learning Glassy Dynamics, Collège de France (France), 2022
"Unsupervised learning of structure in glassy binary mixtures"
Disorder's Role in Glass Formation and Deformation, Lorentz Center (Netherlands), 2022
"Glass structure through the prism of clustering"
Glassy Systems and Inter-Disciplinary Applications, Institut d'Etudes Scientifiques de Cargèse (France), 2021
My codes are available on framagit. Among other things, I develop atooms, a high-level Python framework to deal with particle-based simulations, such as molecular dynamics or Monte Carlo. Below are a few applications of this framework - check out the atooms main page for more. I am also involved in the development of partycls, a Python package for structural clustering.
The atooms library provides an expressive language to deal with particle-based simulations. Develop complex simulation methods and analysis tools with ease.
I am teaching the following courses at the University of Trieste (in Italian)
Fisica dei sistemi disordinati¶
Laurea Magistrale in Fisica
- soft matter
- phase diagrams
- structure and dynamics of liquids
- glass transition
Introduzione alla fisica¶
Laurea Triennale in Intelligenza Artificiale e Data Analytics
- Netwonian mechanics
- fluid mechanics
Tesi di laurea triennali e magistrali¶
The thesis projects I supervise are based on statistical mechanics methods and computer simulations and may involve computational and/or theoretical investigations of
- disordered systems (ex. liquids, supercooled liquids, glasses)
- complex systems (ex. opinion dynamics, epidemics on networks)
- soft and active matter (ex. colloidal suspensions, bacterial colonies)
I am happy to supervise projects with a focus on computational methods such as
- sampling and optimization algorithms
- machine learning / data science
- reproducible research approaches