2018
DOI: 10.1063/1.5035119
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Nature of intrinsic uncertainties in equilibrium molecular dynamics estimation of shear viscosity for simple and complex fluids

Abstract: We study two types of intrinsic uncertainties, statistical errors and system size effects, in estimating shear viscosity via equilibrium molecular dynamics simulations, and compare them with the corresponding uncertainties in evaluating the self-diffusion coefficient. Uncertainty quantification formulas for the statistical errors in the shear-stress autocorrelation function and shear viscosity are obtained under the assumption that shear stress follows a Gaussian process. Analyses of simulation results for sim… Show more

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Cited by 36 publications
(23 citation statements)
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“…Kim et al [47] demonstrate that a complex oscillatory relationship exists between the shear viscosity of dense fluids and V -1/3 , where the oscillations dampen with increasing system size (see Figures 8 and 9 of Ref. [47]). However, extrapolation to the infinite system size viscosity is not feasible due to the non-linear scaling behavior with respect to V -1/3 .…”
Section: Finite Size Effectsmentioning
confidence: 98%
See 1 more Smart Citation
“…Kim et al [47] demonstrate that a complex oscillatory relationship exists between the shear viscosity of dense fluids and V -1/3 , where the oscillations dampen with increasing system size (see Figures 8 and 9 of Ref. [47]). However, extrapolation to the infinite system size viscosity is not feasible due to the non-linear scaling behavior with respect to V -1/3 .…”
Section: Finite Size Effectsmentioning
confidence: 98%
“…Finite size effects can arise in small, dense systems due to limited space for configurational rearrangements [47]. Kim et al [47] demonstrate that a complex oscillatory relationship exists between the shear viscosity of dense fluids and V -1/3 , where the oscillations dampen with increasing system size (see Figures 8 and 9 of Ref. [47]).…”
Section: Finite Size Effectsmentioning
confidence: 99%
“…However, care must be exercised to avoid integrating pure noise over too large of an interval, since this can generate Brownian motion; see, for example, Ref. [46] and references contained therein.…”
Section: Computing Error In Specific Observablesmentioning
confidence: 99%
“…The N-dependence of the self-diffusion coefficient has been the subject of investigations for a range of liquids. 28,[46][47][48][49][50][51][52][53][54][55][56] From these studies, it has been firmly established by hydrodynamic theory and simulations that the effects of periodic images for sufficiently large N can be represented by the following analytic expression,…”
Section: Self-diffusion Coefficientmentioning
confidence: 99%