A unified thermostat scheme for efficient configurational sampling for classical/quantum canonical ensembles via molecular dynamics

التفاصيل البيبلوغرافية
العنوان: A unified thermostat scheme for efficient configurational sampling for classical/quantum canonical ensembles via molecular dynamics
المؤلفون: Zhang, Zhijun, Liu, Xinzijian, Chen, Zifei, Zheng, Haifeng, Yan, Kangyu, Liu, Jian
المصدر: Journal of Chemical Physics, 147, 034109 (2017)
سنة النشر: 2017
المجموعة: Condensed Matter
Physics (Other)
مصطلحات موضوعية: Physics - Chemical Physics, Condensed Matter - Statistical Mechanics, Physics - Atomic and Molecular Clusters, Physics - Biological Physics, Physics - Computational Physics
الوصف: We show a unified second-order scheme for constructing simple, robust and accurate algorithms for typical thermostats for configurational sampling for the canonical ensemble. When Langevin dynamics is used, the scheme leads to the BAOAB algorithm that has been recently investigated. We show that the scheme is also useful for other types of thermostat, such as the Andersen thermostat and Nos\'e-Hoover chain. Two 1-dimensional models and three typical realistic molecular systems that range from the gas phase, clusters, to the condensed phase are used in numerical examples for demonstration. Accuracy may be increased by an order of magnitude for estimating coordinate-dependent properties in molecular dynamics (when the same time interval is used), irrespective of which type of thermostat is applied. The scheme is especially useful for path integral molecular dynamics, because it consistently improves the efficiency for evaluating all thermodynamic properties for any type of thermostat.
Comment: Manuscript + Supplementary Material. A unified second-order scheme for constructing simple, robust and accurate algorithms for typical thermostats for configurational sampling for the canonical ensemble. (Accepted by J. Chem. Phys.)
نوع الوثيقة: Working Paper
DOI: 10.1063/1.4991621
URL الوصول: http://arxiv.org/abs/1705.02236
رقم الأكسشن: edsarx.1705.02236
قاعدة البيانات: arXiv