通过生长无序提取化学能:最大功率下的效率
Extracting chemical energy by growing disorder: Efficiency at maximum power
摘要:
我们认为从环境中提取化学能的效率由两个组成单元的共聚物的增长在熵驱动的制度。我们表明,与信息处理方面的热力学非线性是负责分支的系统属性,如功率,增长速度,熵产生,和效率,具有不同的亲和力。标准的线性热力学参数预测在最大功率时的效率为1/2是不合适的,因为最大功率的状态位于线性状态之外或位于单独的分叉分支上,并且因为通常的热力学力不是这种优化的自然变量。
英文摘要:
We consider the efficiency of chemical energy extraction from the environment by the growth of a copolymer made of two constituent units in the entropy-driven regime. We show that the thermodynamic nonlinearity associated with the information processing aspect is responsible for a branching of the system properties such as power, speed of growth, entropy production, and efficiency, with varying affinity. The standard linear thermodynamics argument which predicts an efficiency of 1/2 at maximum power is inappropriate because the regime of maximum power is located either outside of the linear regime or on a separate bifurcated branch, and because the usual thermodynamic force is not the natural variable for this optimization.
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