Department of Physics, University of Jyväskylä, Jyväskylä, Finland.
J Phys Condens Matter. 2010 Nov 24;22(46):465402. doi: 10.1088/0953-8984/22/46/465402. Epub 2010 Nov 5.
Diffusion in an evolving environment is studied by continuous-time Monte Carlo simulations. Diffusion is modeled by continuous-time random walkers on a lattice, in a dynamic environment provided by bubbles between two one-dimensional interfaces driven symmetrically towards each other. For one-dimensional random walkers constrained by the interfaces, the bubble size distribution dominates diffusion. For two-dimensional random walkers, it is also controlled by the topography and dynamics of the interfaces. The results of the one-dimensional case are recovered in the limit where the interfaces are strongly driven. Even with simple hard-core repulsion between the interfaces and the particles, diffusion is found to depend strongly on the details of the dynamical rules of particles close to the interfaces.
通过连续时间蒙特卡罗模拟研究了不断演变环境中的扩散。扩散通过晶格上的连续时间随机漫步者来模拟，在由两个一维界面之间的气泡提供的动态环境中，界面彼此对称地驱动。对于受界面约束的一维随机漫步者，气泡大小分布支配着扩散。对于二维随机漫步者，它也受到界面的地形和动态的控制。在界面受到强烈驱动的极限情况下，可以恢复一维情况的结果。即使在界面和粒子之间存在简单的硬心排斥，也会发现扩散强烈依赖于靠近界面的粒子的动力学规则的细节。
