Giulio Biroli
Giulio Biroli connects statistical physics with machine learning. His work studies high-dimensional dynamics and applies learned models to physical systems. Biroli is a theoretical-physics professor. His research includes disordered systems, high-dimensional statistics and machine learning. Biroli, Gerhard Jung and Ludovic Berthier coauthored a physics-informed machine-learning model of glass-forming liquids. The preprint appeared in 2022 and the journal paper in 2023. GlassMLP uses structural inputs to predict long-time dynamics and patterns of dynamic heterogeneity in simulated liquids. The results concern the tested physical models.
- Now at
- CNRS and Université Paris Sciences et Lettres
- Works
- 398
- Citations
- 17,958
- h-index
- 67
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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2022–2023
GlassMLP
Biroli, Gerhard Jung and Ludovic Berthier coauthored a physics-informed machine-learning model of glass-forming liquids. The preprint appeared in 2022 and the journal publication followed in 2023.
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2022–2023
Predicting physical dynamics
GlassMLP uses structural inputs to predict long-time dynamics and patterns of dynamic heterogeneity in simulated liquids.
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As of October 2026
Physics and learning
Biroli is a theoretical-physics professor. His research includes disordered systems, high-dimensional statistics and machine learning.
Sources and credits
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