Research

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My research deals with the physics of disordered systems, with a focus on supercooled liquids and glasses. My work is based on statistical physics methods, computer simulations and some tools borrowed from data science.

Check out this page for a glimpse of my research interests.

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)

"Unsupervised learning of amorphous structure"
First International Workshop on Complex Glasses, Warsaw (Poland), 2023

"Quantitative tests of the dynamic crossover scenario in glassy liquids"
International Discussion Meeting on Relaxation in Complex Systems 9th, Chiba (Japan), 2023

"Machine learning glasses: What do humans learn?"
Viscous Liquids and the Glass Transition XIX, Holbaek (Denmark), 2023

Software

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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.

Check out this page for an overview of the codes I develop and to which I contribute.

Latest releases

atooms - What's new in version 3.21.0, released 14/3/2024
A framework for simulations of interacting particles

f2py-jit - What's new in version 0.11.0, released 12/3/2024
Just-in-time Fortran extension builder for Python

atooms-pp - What's new in version 3.4.0, released 25/1/2024
Post-processing tools for particle simulations

Featured packages

Teaching

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I am teaching the following courses at the University of Trieste

Tesi di laurea triennali e magistrali

The thesis projects I supervise are based on statistical mechanics and computer simulations, and may involve computational and/or theoretical investigations of

• disordered systems (ex. liquids, supercooled liquids, glasses)
• soft and active matter (ex. colloidal suspensions, flocks)
• complex systems (ex. opinion dynamics, epidemics on networks)

See my research interest for a brief description of topics I am working on. 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

Get in touch with me for an informal chat about possible projects.