Irreversibility and biased ensembles in active matter: Insights from stochastic thermodynamics

É Fodor, RL Jack, ME Cates - Annual Review of Condensed …, 2022 - annualreviews.org
Active systems evade the rules of equilibrium thermodynamics by constantly dissipating
energy at the level of their microscopic components. This energy flux stems from the …

Ergodicity and large deviations in physical systems with stochastic dynamics

RL Jack - The European Physical Journal B, 2020 - Springer
In ergodic physical systems, time-averaged quantities converge (for large times) to their
ensemble-averaged values. Large deviation theory describes rare events where these time …

Eigenvalue crossing as a phase transition in relaxation dynamics

G Teza, R Yaacoby, O Raz - Physical review letters, 2023 - APS
When a system's parameter is abruptly changed, a relaxation toward the new equilibrium of
the system follows. We show that a crossing between the second and third eigenvalues of …

Optimizing active work: Dynamical phase transitions, collective motion, and jamming

T Nemoto, É Fodor, ME Cates, RL Jack, J Tailleur - Physical Review E, 2019 - APS
Active work measures how far the local self-forcing of active particles translates into real
motion. Using population Monte Carlo methods, we investigate large deviations in the active …

Exact anomalous current fluctuations in a deterministic interacting model

Ž Krajnik, J Schmidt, V Pasquier, E Ilievski, T Prosen - Physical Review Letters, 2022 - APS
We analytically compute the full counting statistics of charge transfer in a classical
automaton of interacting charged particles. Deriving a closed-form expression for the …

Observation of a dynamical quantum phase transition by a superconducting qubit simulation

XY Guo, C Yang, Y Zeng, Y Peng, HK Li, H Deng… - Physical Review …, 2019 - APS
A dynamical quantum phase transition can occur during time evolution of sudden quenched
quantum systems across a phase transition. It corresponds to the nonanalytic behavior at a …

Learning nonequilibrium statistical mechanics and dynamical phase transitions

Y Tang, J Liu, J Zhang, P Zhang - Nature Communications, 2024 - nature.com
Nonequilibrium statistical mechanics exhibit a variety of complex phenomena far from
equilibrium. It inherits challenges of equilibrium, including accurately describing the joint …

A reinforcement learning approach to rare trajectory sampling

DC Rose, JF Mair, JP Garrahan - New Journal of Physics, 2021 - iopscience.iop.org
Very often when studying non-equilibrium systems one is interested in analysing dynamical
behaviour that occurs with very low probability, so called rare events. In practice, since rare …

Using matrix product states to study the dynamical large deviations of kinetically constrained models

MC Banuls, JP Garrahan - Physical review letters, 2019 - APS
Here we demonstrate that tensor network techniques—originally devised for the analysis of
quantum many-body problems—are well suited for the detailed study of rare event statistics …

Finite time large deviations via matrix product states

L Causer, MC Banuls, JP Garrahan - Physical Review Letters, 2022 - APS
Recent work has shown the effectiveness of tensor network methods for computing large
deviation functions in constrained stochastic models in the infinite time limit. Here we show …