统计物理学
噪音(视频)
体积热力学
蒙特卡罗方法
各向异性
随机过程
数学
生物系统
临界性
稳健性(进化)
放松(心理学)
物理
等压法
随机建模
算法
计算机科学
一致性(知识库)
限制
控制理论(社会学)
常量(计算机编程)
应用数学
生产(经济)
噪声测量
估计员
芯(光纤)
观测误差
白噪声
测量不确定度
动力学(音乐)
随机共振
作者
Mattia Bernetti,Giovanni Bussi
摘要
Molecular dynamics simulations require barostats to be performed at a constant pressure. The usual recipe is to employ the Berendsen barostat first, which displays a first-order volume relaxation efficient in equilibration but results in incorrect volume fluctuations, followed by a second-order or a Monte Carlo barostat for production runs. In this paper, we introduce stochastic cell rescaling, a first-order barostat that samples the correct volume fluctuations by including a suitable noise term. The algorithm is shown to report volume fluctuations compatible with the isobaric ensemble and its anisotropic variant is tested on a membrane simulation. Stochastic cell rescaling can be straightforwardly implemented in the existing codes and can be used effectively in both equilibration and production phases.
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