Perez-Carrasco R, Sancho J M
Department of Mathematics, University College London, Gower Street, London WC1E 6BT, United Kingdom and Departament d'Estructura i Constituents de la Matèria, Facultat de Física, Universitat de Barcelona, Carrer Martí Franqués, 1, 08028 Barcelona, Spain.
Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Oct;88(4):042705. doi: 10.1103/PhysRevE.88.042705. Epub 2013 Oct 21.
We present an analytic and stochastic simulation study of a molecular engine working with a flux of particles as a turbine. We focus on the physical observables of velocity, flux, power, and efficiency. The control parameters are the external conservative force and the particle densities. We revise a simpler previous study by using a more realistic model containing multiple equidistant vanes complemented by stochastic simulations of the particles and the turbine. Here we show that the effect of the thermal fluctuations into the flux and the efficiency of these nanometric devices are relevant to the working scale of the system. The stochastic simulations of the Brownian motion of the particles and turbine support the simplified analytical calculations performed.
我们展示了一项关于以粒子流作为涡轮工作的分子引擎的分析和随机模拟研究。我们关注速度、通量、功率和效率等物理可观测量。控制参数是外部保守力和粒子密度。我们通过使用一个更现实的模型(包含多个等距叶片)并辅以粒子和涡轮的随机模拟,对之前一个更简单的研究进行了修正。在这里我们表明,热涨落对这些纳米器件的通量和效率的影响与系统的工作尺度相关。粒子和涡轮布朗运动的随机模拟支持了所进行的简化分析计算。