Laboratoire Charles Coulomb
Université de Montpellier
Place Eugène Bataillon
34095 Montpellier (France)
Phone: +33 (0)4 67149306
My research interests concern the physical description of disordered states of matter, with particular focus on the microscopic mechanisms of glass formation. My work is based on the methods of statistical physics - of liquid state theory in particular - and on computer simulations. I am also interested in modeling and simulating soft matter systems, such as colloidal suspensions and proteins, as well as fluids in confinement.
Recent papers and seminars
"Models and Algorithms for the Next Generation of Glass Transition Studies"
A. Ninarello, L. Berthier, D. Coslovich, Physical Review X 7, 021039 (2017)
"Two-dimensional systems with competing interactions: dynamic properties of single particles and of clusters"
Dieter F Schwanzer, Daniele Coslovich, Gerhard Kahl, Journal of Physics: Condensed Matter 28, 414015 (2016)
"Structure of inactive states of a binary Lennard-Jones mixture"
D. Coslovich, R. Jack, Journal of Statistical Mechanics: Theory and Experiment 2016, 074012 (2016)
"Equilibrium Sampling of Hard Spheres up to the Jamming Density and Beyond"
L. Berthier, D. Coslovich, A. Ninarello, M. Ozawa, Physical Review Letters 116, 238002 (2016)
"Catching up with experiments: Equilibrium simulations of supercooled liquids beyond laboratory time scales"
Liquids 2017, Ljubljana (Slovenia), 2017
"Equilibrium simulations of supercooled liquids beyond laboratory time scales"
University of Bristol, Bristol (United Kingdom), 2017
"Equilibrium simulations of supercooled liquids beyond the laboratory glass transition"
Recent Advances on the Glass and Jamming Transitions, Lausanne (Switzerland), 2017
"Static sources of dynamic fluctuations in glass-formers"
Statphys 26, Lyon (France), 2016
I develop and maintain software to deal with particle-based simulations. Some of these codes are available for download:
- Atooms is a collection of python packages that provide a high-level, yet efficient framework to deal with molecular simulations (molecular dynamics, Monte Carlo). It is composed by a base library and additional packages that can be added as needed.
- One such package allows one to perform multi-GPU parallel tempering simulations. It relies on RUMD, an efficient molecular dynamics code developed by Glass and Time group at the University of Roskilde.
- The postprocessing package provides several python tools to analyze trajectories and simulation data.
- TCC wrap provides command line wrappers to the Topological Cluster Classification code developed by Paddy Royall and coworkers at the University of Bristol.
Additional codes are available from my git repository.
I am the teaching supervisor of the 2nd year of Physics at the University of Montpellier. If you are a student of "L2 Physique" and need help, don't hesitate to contact me!
This year I am teaching:
- HLPH305 Thermodynamique 2: axiomatic formulation of thermodynamics, thermodynamic potentials, phase transitions, introduction to irreversible phenomena, microscopic interpretation of temperature, pressure, entropy.
- HLPH402 Modélisation et algorithmique lab sessions: introduction to python, solution of linear differential equations and application to population dynamics models, random walks.
- HMPH308 Simulations atomistiques avancées: code optimization, vectorization, parallelization (OpenMP and MPI), neighbor lists and optimization strategies for molecular simulations, parallel molecular dynamics.