Langevin integration for isothermal-isobaric condition with a large time step.

IF 3.1 2区 化学 Q3 CHEMISTRY, PHYSICAL
Jaewoon Jung, Yuji Sugita
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引用次数: 0

Abstract

We propose an accurate method for evaluating temperature and pressure in Langevin integration, based on the approach by Leimkuhler and Matthews (J. Chem. Phys. 138, 174102). This method improves the quality of configuration space than other Langevin dynamics methods. However, it encounters issues in pressure evaluation due to inaccuracies in momentum space. In particular, the conventional approach for calculating kinetic temperature using the full-time step momentum introduces errors proportional to the square of the time step (Δt2), leading to unreliable results when employing a large time step under isothermal-isobaric conditions. By calculating kinetic energy using the half-time step momentum in pressure evaluation, we can reduce the numerical errors. We performed molecular dynamics (MD) simulations using our refined pressure evaluation and improved accuracy and stability in the isothermal-isobaric MD simulations even with a long time step (Δt = 5 fs).

大时间步长等温-等压条件下的Langevin积分。
基于Leimkuhler和Matthews (J. Chem.)的方法,我们提出了一种准确的Langevin积分中温度和压力的评估方法。物理学报,138,174102)。与其他朗之万动力学方法相比,该方法提高了构型空间的质量。然而,由于动量空间的不准确性,在压力评估中遇到了问题。特别是,使用全时阶跃动量计算动力学温度的传统方法引入了与时间步长平方成正比的误差(Δt2),导致在等温等压条件下采用大时间步长时结果不可靠。利用半时阶跃动量在压力评估中计算动能,可以减小数值误差。我们利用我们改进的压力评估方法进行了分子动力学(MD)模拟,并提高了等温-等压MD模拟的准确性和稳定性,即使是长时间步长(Δt = 5 fs)。
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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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