Welcome to the Out of Equilibrium Group
The Out of Equilibrium Group @ UML explores the physics of systems driven far from equilibrium, from quantum computation to active matter. Our research connects statistical mechanics, topology, and machine learning to understand how complexity, information, and order emerge in dynamic environments.
Current themes include superstatistics, quantum and classical machine learning (including quantum-enhanced Boltzmann machines and quantum control), anyons and time crystals, out-of-equilibrium thermodynamics, entropy production, dissipation, and active matter self-organization.
We apply these ideas to both fundamental physics and real-world problems, from quantum sensing to biomedical imaging.
We are looking for passionate new PhD students, Postdocs, and Master students to join the team !
News
December 10 2025
Congratulations to Opeyemi and Jack! Their Mini-Review, Synergizing Driven Quantum Dynamics, AI, and Quantum Computing for Next-Gen Materials Science has been named one of the most popular articles in The Journal of Physical Chemistry Letters!
November 10 2025
A huge congrats to Arthea for her amazing poster presentation at the Northeastern Section APS at Brown University! Big round of applause to both her and Tharuka for their fantastic work, Exploring Protein Knots with Artificial Amino Acids - Insights from AlphaFold-Driven Molecular Simulations 
November 5 2025
Opeyemi and Jack’s paper has just been published! Synergizing Driven Quantum Dynamics, AI, and Quantum Computing for Next-Gen Materials Science in J. Phys. Chem. Lett.! 
October 25 2025
Check out our new paper on entropy production in complex and active fluid! Mapping Local Dissipation and Entropy Production in Complex and Active Fluids 