论文标题
Lennard-Jones颗粒中位移的非高斯分布
Non-Gaussian distribution of displacements for Lennard-Jones particles in equilibrium
论文作者
论文摘要
大多数中尺度模拟方法都采用类似速度的高斯分布。但是，这些数量不是真正的速度，而是粒子的时间平均速度或位移。我们表明，这些位移的高斯分布的假设失败了，需要更复杂的分布来充分表达这些位移的分布功能，因此需要更复杂的分布。
Most meso-scale simulation methods assume Gaussian distributions of velocity-like quantities. These quantities are not true velocities, however, but rather time-averaged velocities or displacements of particles. We show that there is a large range of coarse-graining scales where the assumption of a Gaussian distribution of these displacements fails, and a more complex distribution is required to adequately express these distribution functions of displacements.
