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

"Glass is a matter of time"
D. Coslovich, Nature Physics 21, 346 (2025)

"Freezing, melting, and the onset of glassiness in binary mixtures"
D. Coslovich, L. Galliano, L. Costigliola, The Journal of Chemical Physics 162, 061102 (2025)

"Glassy Dynamics and Local Crystalline Order in Two-Dimensional Amorphous Silica"
M. Dirindin, D. Coslovich, The Journal of Physical Chemistry B 129, 1095 (2025)

"Roadmap on machine learning glassy dynamics"
G. Jung, R. Alkemade, V. Bapst, D. Coslovich, L. Filion, F. Landes, A. Liu, F. Pezzicoli, H. Shiba, G. Volpe, F. Zamponi, L. Berthier, G. Biroli, Nature Reviews Physics 7, 91 (2025)

"Machine learning glassy dynamics: What do humans learn?"
Dipartimento di Fisica, Padova (Italy), 2025

"Machine learning glassy dynamics: What do humans learn?"
H. H. Wills Laboratory, Bristol (U.K.), 2025

"Machine learning glassy dynamics: What do humans learn?"
SISSA, Trieste (Italy), 2024

"Unsupervised learning and intrinsic dimension of amorphous structure"
12th Liquid Matter Conference, Mainz (Germany), 2024

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 3.26.0, released 13/3/2025
A framework for simulations of interacting particles

orgnb - What's new in version 0.2.0, released 10/3/2025
Convert org-mode files to jupyter notebooks

pantarei - What's new in version 0.7.1, released 6/3/2025
A general-purpose workflow manager

berni - What's new in version 0.2.0, released 4/2/2025
Database of interaction models for molecular dynamics and Monte Carlo 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 (ex. efficient Monte Carlo methods, inverse design)
• machine learning / data science (ex. unsupervised, supervised and reinforcement learning)
• reproducible research approaches (ex. workflow management, FAIR data)

Here are a few recent thesis projects I supervised

• "Dimensione intrinseca della struttura locale nei vetri", Michele Matteucci (master student)
• "Simulazioni di dinamica molecolare per la silica amorfa bidimensionale", Marco Dirindin (master student)
• "Metodi di apprendimento rinforzato per la simulazione Monte Carlo di sistemi disordinati", Riccardo Rende (master student)
• "Modelli a vincolo cinetico per lo studio della transizione vetrosa", Giovanni Lucarelli (undergraduate student)
• "Dinamiche collettive nella materia attiva", Iacopo Ricci (undergraduate student)

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