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Wednesday, September 06, 2017
2:00 PM - 3:00 PM
CNLS Conference Room (TA-3, Bldg 1690)

Seminar

Stochastic integration of Langevin Equation of Motion

Andrew Alvarado
University of California, Los Angeles

We propose a new method of integration of the Langevin equation of motion based on stochastic sampling of the Master Equation. We show that the temperature distribution matches with theoretical values of a canonical ensemble up to the fourth moment. We take advantage of the adaptive time step naturally given by Gillespie's Stochastic Simulation Algorithm. The velocities given by the integration are compared against Boltzmann velocity distribution with good agreement. This algorithm creates a new tool for the integration of equations of motion from the prospective as a rate equation.

Host: Enrique Martinez