57 citations · 234 across the 15 of their papers we have counts for
15 papers
Correcting systematic errors in the likelihood optimization of underdamped Langevin models of molecular dynamics trajectories
David Daniel Girardier, Hadrien Vroylandt, Sara Bonella +1
Since Kramers' pioneering work in 1940, significant efforts have been devoted to studying Langevin equations applied to physical and chemical reactions projected onto few collectiv…
From high-dimensional committors to reactive insights
Nils E. Strand, Schuyler B. Nicholson, Hadrien Vroylandt +1
Transition path theory (TPT) offers a powerful formalism for extracting the rate and mechanism of rare dynamical transitions between metastable states. Most applications of TPT eit…
Data-driven path collective variables
Arthur France-Lanord, Hadrien Vroylandt, Mathieu Salanne +3
Identifying optimal collective variables to model transformations, using atomic-scale simulations, is a long-standing challenge. We propose a new method for the generation, optimiz…
Using tensor network states for multi-particle Brownian ratchets
Nils E. Strand, Hadrien Vroylandt, Todd R. Gingrich
The study of Brownian ratchets has taught how time-periodic driving supports a time-periodic steady state that generates nonequilibrium transport. When a single particle is transpo…
Computing time-periodic steady-state currents via the time evolution of tensor network states
Nils E. Strand, Hadrien Vroylandt, Todd R. Gingrich
We present an approach based upon binary tree tensor network (BTTN) states for computing steady-state current statistics for a many-particle 1D ratchet subject to volume exclusion…
Position-dependent memory kernel in generalized Langevin equations: theory and numerical estimation
Hadrien Vroylandt, Pierre Monmarché
Generalized Langevin equations with non-linear forces and position-dependent linear friction memory kernels, such as commonly used to describe the effective dynamics of coarse-grai…
Likelihood-based non-Markovian models from molecular dynamics
Hadrien Vroylandt, Ludovic Goudenège, Pierre Monmarché +2
We introduce a new method to accurately and efficiently estimate the effective dynamics of collective variables in molecular simulations. Such reduced dynamics play an essential ro…
Transition rates, survival probabilities, and quality of bias from time-dependent biased simulations
Karen Palacio-Rodriguez, Hadrien Vroylandt, Lukas S. Stelzl +3
Simulations with an adaptive time-dependent bias, such as metadynamics, enable an efficient exploration of the conformational space of a system. However, the dynamic information of…
Efficiency fluctuations of stochastic machines undergoing a phase transition
Hadrien Vroylandt, Massimiliano Esposito, Gatien Verley
We study the efficiency fluctuations of a stochastic heat engine made of interacting unicyclic machines and undergoing a phase transition in the macroscopic limit. Depending on…
Isometric Uncertainty Relations
Hadrien Vroylandt, Karel Proesmans, Todd R. Gingrich
We generalize the link between fluctuation theorems and thermodynamic uncertainty relations by deriving a bound on the variance of fluxes that satisfy an isometric fluctuation theo…
An ordered set of power-efficiency trade-offs
Hadrien Vroylandt, David Lacoste, Gatien Verley
In this paper, we derive a number of inequalities which express power-efficiency trade-offs that hold generally for thermodynamic machines operating in non-equilibrium stationary s…
Non equivalence of dynamical ensembles and emergent non ergodicity
Hadrien Vroylandt, Gatien Verley
Dynamical ensembles have been introduced to study constrained stochastic processes. In the microcanonical ensemble, the value of a dynamical observable is constrained to a given va…
Degree of coupling and efficiency of energy converters far-from-equilibrium
Hadrien Vroylandt, David Lacoste, Gatien Verley
In this paper, we introduce a real symmetric and positive semi-definite matrix, which we call the non-equilibrium conductance matrix, and which generalizes the Onsager response mat…
Collective effects enhancing power and efficiency
Hadrien Vroylandt, Massimiliano Esposito, Gatien Verley
Energy conversion is most efficient for micro or nano machines with tight coupling between input and output power. To reach meaningful amounts of power, ensembles of such machi…
Efficiency fluctuations of small machines with unknown losses
Hadrien Vroylandt, Anthony Bonfils, Gatien Verley
The efficiency statistics of a small thermodynamic machine has been recently investigated assuming that the total dissipation was a linear combination of two currents: the input an…