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原文連結
論文資訊
- 類型：已發表論文
- 日期：2020
摘要
Maxwellian ratchets are autonomous, finite-state 熱力學 engines that implement input- output 資訊al transformations. Previous studies of these “demons” focused on how they exploit environmental resources to generate work: They randomize ordered inputs, leveraging increased Shannon 熵 to transfer energy from a thermal reservoir to a work reservoir while respecting both Liouvillian state-space dynamics and the Second Law. However, to date, correctly determining such functional 熱力學 operating regimes was restricted to a very few engines for which correlations among their 資訊-bearing degrees of freedom could be calculated exactly and in closed form—a highly restricted set. Additionally, a key second dimension of ratchet behavior was largely ignored—ratchets do not merely change the randomness of envir
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