论文标题
粘弹性颗粒气体的记忆效应
Memory effects in a gas of viscoelastic particles
论文作者
论文摘要
我们研究粘弹性颗粒的颗粒气(碰撞时的动能损失是颗粒在冲击时的相对速度的函数),但受到随机恒温器的影响。我们表明,该系统在热弛豫过程中显示出异常的冷却和加热速率,这导致热记忆的出现。特别是,存在重要的\ textit {mpemba效应};即,与冷却器/较热的颗粒气相比,最初更热/冷却的颗粒气可以冷却/加热。此外,还观察到\ textit {kovacs效应}。即,如果气体在固定其值之前会发生一定的温度变化,则颗粒温度的非单调松弛。我们的结果表明,这两种记忆效应都具有不同的特征,并且最终与简单碰撞模型中粒状流体的理论报道的那些具有截然不同的特征。我们通过三种独立方法研究系统:动力学方程时间演变和计算机模拟的近似解(分子动力学模拟和直接模拟蒙特卡洛方法),在它们之间找到了良好的一致性。
We study a granular gas of viscoelastic particles (kinetic energy loss upon collision is a function of the particles' relative velocities at impact) subject to a stochastic thermostat. We show that the system displays anomalous cooling and heating rates during thermal relaxation processes, this causing the emergence of thermal memory. In particular, a significant \textit{Mpemba effect} is present; i.e., an initially hotter/cooler granular gas can cool down/heat up faster than an in comparison cooler/hotter granular gas. Moreover, a \textit{Kovacs effect} is also observed; i.e., a non-monotonic relaxation of the granular temperature --if the gas undergoes certain sudden temperature changes before fixing its value. Our results show that both memory effects have distinct features, very different and eventually opposed to those reported in theory for granular fluids under simpler collisional models. We study our system via three independent methods: approximate solution of the kinetic equation time evolution and computer simulations (both molecular dynamics simulations and Direct Simulation Monte Carlo method), finding good agreement between them.