中文摘要：

基于泳机理自驱动的微/纳马达动力学现象十分丰富,相关理论研究属于软凝聚态、统计物理和纳米科技交叉学科新兴的前沿领域.对自驱动马达进行模型设计、探索马达与复杂环境相互作用,具有潜在的应用意义.本文首先介绍了一种高效的介观模拟方法——多粒子碰撞动力学基本方法,以及结合了分子动力学和化学反应的联合算法;接着简要描述了马达基于泳的自驱动机理,并简单回顾了马达数值模拟研究的相关进展;最后概述了应用多粒子碰撞动力学方法对自驱动马达研究的结果,包括广泛地建模与设计,以及马达与复杂活化环境相互作用动力学.

英文摘要：

Self-propulsion of micron and nanoscale objects in the low Reynolds number regime are commonly observed in biological systems. Micron and nanoscale synthetic self-propelled objects have been fabricated recently and the mechanisms that underlie their operation have been described. Researches about such motors are the interesting topic because of their potential applications as vehicles for drug delivery, cargo transport, motion-based bio-sensing, nanoscale assembly, targeted synthesis, nano- and microfluidics, etc. One type of such motors based on phoretic self-propulsion exhibit various dynamical phenomena that have attracted increasing attentions in the front interdiscipline fields of soft condensed matter, statistical physics, and nanotechnology. Studies on designing interesting nano-motor that can execute special tasks and exploration of their dynamics behavior in complex active matter have been more attractive recently. In this review, we introduce the mesoscopic dynamical scheme that is based on a coarse-grain description of molecular collisions-multiple particles collision dynamics （MPC）. There are several attractive features of such a mesoscopic description. Due to simple dynamics, it is both easy and efficient to simulate. The equations of motion are easily written and the techniques of nonequilibriun statistical mechanics can be used to derive macroscopic laws and correlation function expressions for the transport properties. One can derive accurate analytical expressions for the transport coefficient. Especially, the mesoscopic description can be combined with full molecular dynamics in order to describe the properties of solute species, such as motor or colloids, in solution. Since all of the physical conservation laws are satisfied, hydrodynamic interactions, which play an important role in the dynamical properties of such systems, are automatically taken into account without additional assumption. This method can be combined with full molecular dynamics （MD） to construct a hybrid MPC-MD met