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The Journal of Chemical Physics|August 6, 2022
Computing time-periodic steady-state currents via the time evolution of tensor network statesNils E Strand, Hadrien Vroylandt, Todd R GingrichThe Journal of Chemical Physics|June 15, 2022
Using tensor network states for multi-particle Brownian ratchetsNils E Strand, Hadrien Vroylandt, Todd R GingrichThe Journal of Chemical Physics|December 9, 2024
From high-dimensional committors to reactive insightsNils E Strand, Schuyler B Nicholson, Hadrien Vroylandt, et al.Physical Review. E|August 16, 2020
Current inversion in a periodically driven two-dimensional Brownian ratchetNils E Strand, Rueih-Sheng Fu, Todd R GingrichThe Journal of Chemical Physics|July 1, 2022
Position-dependent memory kernel in generalized Langevin equations: Theory and numerical estimationHadrien Vroylandt, Pierre MonmarchéPhysical Review Letters|July 9, 2020
Efficiency Fluctuations of Stochastic Machines Undergoing a Phase TransitionHadrien Vroylandt, Massimiliano Esposito, Gatien VerleyPhysical Review. E|June 15, 2016
Efficiency fluctuations of small machines with unknown lossesHadrien Vroylandt, Anthony Bonfils, Gatien VerleyThe Journal of Chemical Physics|October 26, 2023
Inferring free-energy barriers and kinetic rates from molecular dynamics via underdamped Langevin modelsDavid Daniel Girardier, Hadrien Vroylandt, Sara Bonella, et al.Physical Review Letters|March 20, 2026
Correcting Systematic Parametrization Errors in Underdamped Langevin Models of Molecular Dynamics TrajectoriesDavid Daniel Girardier, Hadrien Vroylandt, Sara Bonella, et al.Proceedings of the National Academy of Sciences of the United States of America|March 23, 2022
Likelihood-based non-Markovian models from molecular dynamicsHadrien Vroylandt, Ludovic Goudenège, Pierre Monmarché, et al.Pageof 4