284 citations · 3.1k across the 93 of their papers we have counts for
93 papers
On the Application of Non-Gaussian Noise in Stochastic Langevin Simulations
Niels Grønbech-Jensen
In light of recent advances in time-step independent stochastic integrators for Langevin equations, we revisit the considerations for using non-Gaussian distributions for the therm…
Bringing discrete-time Langevin splitting methods into agreement with thermodynamics
Joshua Finkelstein, Chungho Cheng, Giacomo Fiorin +2
In light of the recently published complete set of statistically correct Gronbech-Jensen (GJ) methods for discrete-time thermodynamics, we revise a differential operator splitting…
The Challenge of Stochastic Størmer-Verlet Thermostats Generating Correct Statistics
Joshua Finkelstein, Chungho Cheng, Giacomo Fiorin +2
In light of the recently developed complete GJ set of single random variable stochastic, discrete-time Størmer-Verlet algorithms for statistically accurate simulations of Langevin…
Modeling Escape from a One-Dimensional Potential Well at Zero or Very Low Temperatures
Chungho Cheng, Gaetano Salina, Niels Grønbech-Jensen +3
The process of activation out a one-dimensional potential is investigated systematically in zero and nonzero temperature conditions. The features of the potential are traced throug…
Complete Set of Stochastic Verlet-Type Thermostats for Correct Langevin Simulations
Niels Grønbech-Jensen
We present the complete set of stochastic Verlet-type algorithms that can provide correct statistical measures for both configurational and kinetic sampling in discrete-time Langev…
Defining velocities for accurate kinetic statistics in the GJF thermostat
Niels Grønbech-Jensen, Oded Farago
We expand on two previous developments in the modeling of discrete-time Langevin systems. One is the well-documented Grønbech-Jensen Farago (GJF) thermostat, which has been demonst…