2018
DOI: 10.1016/j.physa.2018.02.202
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Performance of quantum Stirling heat engine with numerous copies of extreme relativistic particles confined in 1D potential well

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Cited by 22 publications
(11 citation statements)
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“…The same has been shown to be true for the work distribution in relativistic quantum systems [60]. Recent works have examined quantum heat engine cycles for a relativistic fermion in a square well potential [61][62][63], and a non-relativistic working medium interacting with a relativsitic bath [64]. Heat engine implementations in Dirac materials such as graphene have also been proposed [52,[65][66][67].…”
Section: Introductionmentioning
confidence: 74%
“…The same has been shown to be true for the work distribution in relativistic quantum systems [60]. Recent works have examined quantum heat engine cycles for a relativistic fermion in a square well potential [61][62][63], and a non-relativistic working medium interacting with a relativsitic bath [64]. Heat engine implementations in Dirac materials such as graphene have also been proposed [52,[65][66][67].…”
Section: Introductionmentioning
confidence: 74%
“…[73] The aim of this paper is to study the performance of a QHE in which the working medium interacts with a pure cold reservoir and a squeezed thermal reservoir. [74][75][76] In particular, we analyze the quantum equivalent of the classical Stirling cycle [77][78][79][80][81][82][83][84][85][86][87][88][89][90][91][92] in which the hot reservoir is replaced by a thermal squeezed reservoir. We observe that the squeezing parameter r h improves the performance of a QSHE, especially when the ratio of the temperatures of the hot and cold reservoirs is small, which means that the engine has less energetic cost.…”
Section: Introduction 1motivationmentioning
confidence: 99%
“…In addition, more genres of WM have been considered and studied recently [ 50 , 51 , 52 , 53 , 54 , 55 , 56 ]. To date, the research on quantum thermodynamic cycles has mainly focused on the optimal path and optimal performance in one-stage HEs, including Carnot HEs [ 37 , 38 , 39 , 44 , 55 , 56 , 57 , 58 ], Brayton HEs [ 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 ], Otto HEs [ 46 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 ], Stirling HEs [ 45 , 77 , 78 , 79 , 80 , 81 ], and other HEs and systems [ 43 , 82 , 83 , 84 , 85 , 86 , 87 ]. Different optimization objects and different WMs, from endoreversible to irreversible QHE cycles, were also focused on; see the review articles [ 88 , 89 , 90 , 91 , 92 ].…”
Section: Introductionmentioning
confidence: 99%