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Uncertainty quantification and propagation of errors of the Lennard-Jones 12-6 parameters for n-alkanes

机译:正构烷烃Lennard-Jones 12-6参数的不确定度量化和误差传播

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摘要

Molecular simulation has the ability to predict various physical properties that are difficult to obtain experimentally. For example, we implement molecular simulation to predict the critical constants (i.e., critical temperature, critical density, critical pressure, and critical compressibility factor) for large n-alkanes that thermally decompose experimentally (as large as C48). Historically, molecular simulation has been viewed as a tool that is limited to providing qualitative insight. One key reason for this perceived weakness in molecular simulation is the difficulty to quantify the uncertainty in the results. This is because molecular simulations have many sources of uncertainty that propagate and are difficult to quantify. We investigate one of the most important sources of uncertainty, namely, the intermolecular force field parameters. Specifically, we quantify the uncertainty in the Lennard-Jones (LJ) 12-6 parameters for the CH4, CH3, and CH2 united-atom interaction sites. We then demonstrate how the uncertainties in the parameters lead to uncertainties in the saturated liquid density and critical constant values obtained from Gibbs Ensemble Monte Carlo simulation. Our results suggest that the uncertainties attributed to the LJ 12-6 parameters are small enough that quantitatively useful estimates of the saturated liquid density and the critical constants can be obtained from molecular simulation.
机译:分子模拟能够预测难以通过实验获得的各种物理性质。例如,我们实施分子模拟来预测通过实验热分解(大至C48)的大型正构烷烃的临界常数(即临界温度,临界密度,临界压力和临界可压缩系数)。从历史上看,分子模拟一直被视为仅限于提供定性见解的工具。分子模拟中这种弱点的主要原因之一是难以量化结果的不确定性。这是因为分子模拟具有许多不确定性源,这些不确定性源会传播并且难以量化。我们研究了不确定性的最重要来源之一,即分子间力场参数。具体来说,我们量化了Lennard-Jones(LJ)12-6参数中CH4,CH3和CH2联合原子相互作用位点的不确定性。然后,我们演示了参数的不确定性如何导致从Gibbs Ensemble蒙特卡洛模拟获得的饱和液体密度和临界常数的不确定性。我们的结果表明,归因于LJ 12-6参数的不确定性足够小,可以从分子模拟中获得定量有用的饱和液体密度和临界常数的估计值。

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