平衡分子动力学的输运系数。

IF 3.1 2区 化学 Q3 CHEMISTRY, PHYSICAL Journal of Chemical Physics Pub Date : 2025-02-14 DOI:10.1063/5.0249677
Paolo Pegolo, Enrico Drigo, Federico Grasselli, Stefano Baroni
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引用次数: 0

摘要

通过历史悠久的线性响应和平衡分子动力学的Green-Kubo理论来确定输运系数需要比平衡性质更长的模拟时间,并且由于缺乏成熟的数据分析技术来评估结果的统计准确性而进一步受到阻碍。利用与分子轨迹相关的当前时间序列的光谱分析的最新进展,我们引入了一种新的方法来估计从单个统计模型中传输系数的完整(对角线和非对角线)Onsager矩阵。该方法基于onsager矩阵样本在频域的统计分布知识,将对角线(电导率和粘度)和非对角线(例如热电)输运系数的评估统一在一个综合框架内,显著提高了从熔盐到固态电解质等材料输运系数估计的可靠性。我们使用熔融氟化铯和液态水的基准数据验证了该方法与现有方法的准确性,并通过计算Li3PS4固态电解质的各种输运系数来结束我们的演示。
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Transport coefficients from equilibrium molecular dynamics.

The determination of transport coefficients through the time-honored Green-Kubo theory of linear response and equilibrium molecular dynamics requires significantly longer simulation times than those of equilibrium properties while being further hindered by the lack of well-established data-analysis techniques to evaluate the statistical accuracy of the results. Leveraging recent advances in the spectral analysis of the current time series associated with molecular trajectories, we introduce a new method to estimate the full (diagonal as well as off-diagonal) Onsager matrix of transport coefficients from a single statistical model. This approach, based on the knowledge of the statistical distribution of the Onsager-matrix samples in the frequency domain, unifies the evaluation of diagonal (conductivities and viscosities) and off-diagonal (e.g., thermoelectric) transport coefficients within a comprehensive framework, significantly improving the reliability of transport coefficient estimation for materials ranging from molten salts to solid-state electrolytes. We validate the accuracy of this method against existing approaches using benchmark data on molten cesium fluoride and liquid water and conclude our presentation with the computation of various transport coefficients of the Li3PS4 solid-state electrolyte.

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来源期刊
Journal of Chemical Physics
Journal of Chemical Physics 物理-物理:原子、分子和化学物理
CiteScore
7.40
自引率
15.90%
发文量
1615
审稿时长
2 months
期刊介绍: The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, and Special Topic issues. The Journal focuses on innovative research in experimental and theoretical areas of chemical physics, including spectroscopy, dynamics, kinetics, statistical mechanics, and quantum mechanics. In addition, topical areas such as polymers, soft matter, materials, surfaces/interfaces, and systems of biological relevance are of increasing importance. Topical coverage includes: Theoretical Methods and Algorithms Advanced Experimental Techniques Atoms, Molecules, and Clusters Liquids, Glasses, and Crystals Surfaces, Interfaces, and Materials Polymers and Soft Matter Biological Molecules and Networks.
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