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Camille Scalliet
Chargée de recherche CNRS
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I am a chargée de recherche at CNRS, based in the laboratoire de physique de l'École Normale Supérieure in Paris. As a theoretical physicist, I work on various problems in soft and condensed matter, with a focus on the statistical physics of disordered systems. I search for new dynamic and thermodynamic behaviors combining analytical and computational approaches, and investigate how they emerge from disorder and non-equilibrium conditions. In 2016, I graduated in Physics from the Ecole Normale Supérieure de Lyon. I received my PhD in 2019 from the University of Montpellier, advised by L. Berthier and F. Zamponi (ENS, Paris). I then joined the University of Cambridge as a postdoctoral researcher working with M. E. Cates. In 2020 I became an Herchel Smith postdoctoral Fellow based in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge, and a Fellow of Sidney Sussex College (2020-2023). In 2022, I was awarded the Young Scientist Prize in Statistical Physics from the International Union for Pure and Applied Physics. I was awarded a L'Oréal-UNESCO For Women in Science Young Talents France Fellowship in 2018. For more information please visit the Research, Publications, Talks or CV pages. |
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People
In October 2025, I welcomed three new PhD students: Nikita Allaglo, Danqi Lang and Victor Lequin.
In January 2026, Marco Dirindin joined the group as a postdoctoral researcher thanks to the financial support of my PSL Young Starting Grant. He will be working on the statistical physics of disordered two-dimensional materials, including their liquid-solid interfacial properties. Teaching Since January 2026, I teach a new lecture "From Statistical Physics to Complex Systems" together with Julien Randon-Furling in the Master 2 ICFP at ENS. Master students and PhD students are very welcome to attend. |
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How do ecological populations invade a competing stable state when the dynamics are out of equilibrium? We develop a theory of nucleation for reaction-diffusion systems with non-conserved vector order parameters, extending classical nucleation theory beyond equilibrium systems and scalar fields. We show that the structure of classical nucleation theory survives out of equilibrium, with front speed and diffusivity replacing the bulk free-energy difference and surface tension. Applied to the two-species Lotka-Volterra model, the theory reveals that strong competition creates a depletion region within invasion fronts, making the nucleation of invasion exponentially more difficult.
V. Lequin, G. Biroli, C. Scalliet, Nucleation beyond Equilibrium: Fronts Control Invasion in Bistable Ecosystems, arXiv:2608.05251 (2026) |
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How can we predict the long-time dynamics of extremely viscous liquids from short-time simulations? We combine particle-swap Monte Carlo and long GPU molecular dynamics simulations to explore this regime and test competing descriptions of the inherent dynamics. We find that the Random Barrier Model, despite its deliberately idealized assumption of identical energy minima, captures the dynamics remarkably well. In particular, it predicts the long-time diffusion coefficient surprisingly accurately from short-time data, raising the question of why such a simple model works so well.
T. B. Schrøder, J. C. Dyre, C. Scalliet, Dynamics of viscous liquids and the Random Barrier Model, J. Chem. Phys. 165, 064512 (2026) |