基于Green-Kubo不确定性的输运系数估计器

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Martín Otero-Lema, Raúl Lois-Cuns, Miguel A. Boado, Hadrián Montes-Campos*, Trinidad Méndez-Morales* and Luis M. Varela, 
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引用次数: 0

摘要

介绍了一种基于分子动力学模拟的输运性质计算算法kute。该方法根据Green-Kubo定理估计积分,考虑到相关函数的不确定性,以消除任意截止点或外部参数的值可能改变结果。在这个贡献中,kute的性能与其他流行的方法对质子离子液体的各种输运性质进行了测试。研究发现,kute方法在计算输运性质时,达到了与爱因斯坦关系等效公式相同的精度,并且优于其他使用Green-Kubo方法计算输运性质的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

KUTE: Green–Kubo Uncertainty-Based Transport Coefficient Estimator

KUTE: Green–Kubo Uncertainty-Based Transport Coefficient Estimator

An algorithm for the calculation of transport properties from molecular dynamics simulations, kute, is introduced. The method estimates the integrals from the Green–Kubo theorem, taking into account the uncertainties of the correlation functions in order to eliminate arbitrary cutoffs or external parameters whose values could alter the result. In this contribution, the performance of kute is tested against other popular methods for the case of a protic ionic liquid for a variety of transport properties. It is found that kute achieves the same degree of accuracy as the equivalent formulation of the Einstein relations while performing better than other methods to calculate transport properties using Green–Kubo methods.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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