氩向超临界状态等时转变的分子动力学模拟

Yunmin Ran, V. Bertola
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摘要

针对等时相变到超临界状态的情况,研究了初始原子分布对模型原子流体(氩)的分子动力学(MD)模拟的影响。特别是将模拟域中原子均匀分布的情况与液态和气态原子分离的情况进行了比较。此外,还研究了模拟对边界非对称纳米级扰动的敏感性。尽管计算成本很高,但 MD 方法有可能成功解决计算流体动力学(CFD)中长期存在的问题,尤其是与数学奇点相关的问题,如接触角、旋涡、相变等。传统 CFD 模拟的初始条件是模拟域中的压力或速度分布,而 MD 模拟则不同,它还需要每个分子的初始位置。因此,了解明智地选择分子的初始分布是否能减少模拟的总体计算时间非常重要。模型流体系统在相变过程中的演变是使用伦纳德-琼斯原子间势进行模拟的,并针对与固体壁的相互作用使用洛伦兹-贝特洛混合规则进行了校正。先让系统松弛直至平衡,然后在壁面上施加一个 Heaviside 温度阶跃,使系统达到超临界条件。结果表明,原子分布的初始选择会显著影响计算时间,而边界上的不对称扰动的影响可以忽略不计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular dynamics simulation of argon isochoric transition to supercritical state
The effect of the initial atoms distribution on the molecular dynamics (MD) simulation of a model atomic fluid (argon) is investigated for the case of the isochoric phase transition to the supercritical state. In particular, the case of uniformly distributed atoms in the simulation domain is compared with the case of separated liquid and vapor atoms. The sensitivity of simulations to asymmetric nanoscale perturbations in the boundary is also studied. Despite its high computational cost, the MD approach has the potential to successfully address long‐standing problems in computational fluid dynamics (CFD), especially those associated with mathematical singularities, such as contact angles, vortices, phase transitions and so forth. Unlike conventional CFD simulations, where the initial condition is the pressure or velocity distribution in the simulation domain, MD simulations also require the initial position of each molecule. Thus, it is important to understand whether a judicious choice of the initial distribution of molecules can reduce the overall computation time of the simulation. The evolution of the model fluid system during the phase transition was simulated using a Lennard‐Jones interatomic potential, corrected with the Lorentz–Berthelot mixing rule for the interactions with the solid walls. The system was allowed to relax until equilibrium, and then a Heaviside temperature step was applied to the wall to bring the system to supercritical conditions. Results show the initial choice of the atoms distribution can significantly affect the computational time, while the effect of asymmetric perturbations on the boundary is negligible.
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