activity
19992023
most citedThe large deviation approach to statistical mechanics

2k citations · 5.6k across the 66 of their papers we have counts for

collaborators

66 papers

cond-mat.stat-mech2023★ 11 cited

Large deviations of the stochastic area for linear diffusions

Johan du Buisson, Thamu D. P. Mnyulwa, Hugo Touchette

The area enclosed by the two-dimensional Brownian motion in the plane was studied by Lévy, who found the characteristic function and probability density of this random variable. Fo…

cond-mat.stat-mech2022★ 30 cited

Dynamical large deviations of linear diffusions

Johan du Buisson, Hugo Touchette

Linear diffusions are used to model a large number of stochastic processes in physics, including small mechanical and electrical systems perturbed by thermal noise, as well as Brow…

cond-mat.stat-mech2022★ 7 cited

Adaptive power method for estimating large deviations in Markov chains

Francesco Coghi, Hugo Touchette

We study the performance of a stochastic algorithm based on the power method that adaptively learns the large deviation functions characterizing the fluctuations of additive functi…

cond-mat.stat-mech2022★ 17 cited

Noise correction of large deviations with anomalous scaling

Daniel Nickelsen, Hugo Touchette

We present a path integral calculation of the probability distribution associated with the time-integrated moments of the Ornstein-Uhlenbeck process that includes the Gaussian pref…

cond-mat.stat-mech2021★ 38 cited

Learning nonequilibrium control forces to characterize dynamical phase transitions

Jiawei Yan, Hugo Touchette, Grant M. Rotskoff

Sampling the collective, dynamical fluctuations that lead to nonequilibrium pattern formation requires probing rare regions of trajectory space. Recent approaches to this problem b…

cond-mat.stat-mech2021★ 24 cited

Role of current fluctuations in nonreversible samplers

Francesco Coghi, Raphael Chetrite, Hugo Touchette

It is known that the distribution of nonreversible Markov processes breaking the detailed balance condition converges faster to the stationary distribution compared to reversible p…