| 书目名称 | Stochastic Thermodynamic Treatment of Thermal Anisotropy |
| 编辑 | Olga Movilla Miangolarra |
| 视频video | |
| 概述 | Nominated as an outstanding PhD Thesis by the University of California, Irvine.Begins with an accessible introduction to optimal mass transport.Presents a geometric framework to quantify the performan |
| 丛书名称 | Springer Theses |
| 图书封面 |  |
| 描述 | .This thesis advances our understanding of how thermal anisotropy can be exploited to extract work through a mechanism that is quite distinct from the classical Carnot heat engine. Anisotropy, the presence of thermal or chemical gradients, is ubiquitous in the real world and powers the cascade of processes that sustain life. The thesis quantifies, for the first time, the maximum amount of power and efficiency that a suitable mechanism (a Brownian gyrator) can achieve in such conditions. An important contribution at the center of the thesis is to lay out a geometric framework that brings out the importance of an isoperimetric problem to analyze and quantify optimal operation of thermodynamic engines that harvest energy when simultaneously in contact with several heat baths. Fundamental bounds are derived via isoperimetric inequalities which capture the trade-off between work and dissipation that accrue during thermodynamic cycles. A geometric theory that allows such insights is explained first – the theory of optimal mass transport – followed by rudiments of stochastic thermodynamics that allow for quantification of work and entropy production during finite-time thermodynamic transi |
| 出版日期 | Book 2024 |
| 关键词 | stochastic thermodynamics; optimal mass transport; Brownian gyrator; energy harvesting; anisotropic fluc |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-68066-3 |
| isbn_softcover | 978-3-031-68068-7 |
| isbn_ebook | 978-3-031-68066-3Series ISSN 2190-5053 Series E-ISSN 2190-5061 |
| issn_series | 2190-5053 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 16:13:18
