论文标题
Szilard发动机和基于信息的活性系统的工作提取
Szilard engines and information-based work extraction for active systems
论文作者
论文摘要
可以利用主动系统的均衡性质来设计基于信息的发动机。我们设计了两种类型的主动Szilard发动机，它们使用麦克斯韦守护程序从由非相互作用的活性布朗颗粒（ABP）组成的活动浴中提取作品。这两种引擎可利用ABP的准静态活动压力或速度的长相关时间。对于这两种发动机，可以违反Landauer原理，因此与在准热平衡中运行的常规Szilard发动机相比，可以提取更大的工作。对于我们的这两个发动机，我们都会确定提取工作和效率最大化的最佳制度。最后，我们在合成和生物活性系统的背景下讨论它们。
The out of equilibrium nature of active systems can be exploited for the design of information-based engines. We design two types of an active Szilard engine that use a Maxwell daemon to extract work from an active bath composed of non-interacting Active Brownian Particles (ABPs). The two engines exploit either the quasi-static active pressure of ABPs or the long correlation time of their velocities. For both engines the Landauer principle can be violated so that larger work can be extracted compared to conventional Szilard engines operating in quasi thermal equilibrium. For both of our engines,we identify the optimal regimes at which the work extracted and the efficiency are maximized. Finally, we we discuss them in the context of synthetic and biological active systems.
