Universität Innsbruck
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Noise-cancellation algorithm for simulations of Brownian particles
We investigate the usage of a recently introduced noise-cancellation algorithm for Brownian simulations to enhance the precision of measuring transport properties such as the mean-square displacement or the velocityautocorrelation function. The algorithm is based on explicitly storing the p
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