2022
DOI: 10.1103/physrevb.106.035405
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Geometric energy transport and refrigeration with driven quantum dots

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Cited by 7 publications
(5 citation statements)
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“…As in prior work we find that the relevant stationary values are not only those of the actual system but also those of the dual system. This remarkable insight has significantly advanced the analysis of the parameter dependence of the transient state evolution [9,16,19,54]. Our result extends this to interacting systems proximized by a superconductor but additionally points out two important refinements.…”
Section: State Evolutionsupporting
confidence: 73%
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“…As in prior work we find that the relevant stationary values are not only those of the actual system but also those of the dual system. This remarkable insight has significantly advanced the analysis of the parameter dependence of the transient state evolution [9,16,19,54]. Our result extends this to interacting systems proximized by a superconductor but additionally points out two important refinements.…”
Section: State Evolutionsupporting
confidence: 73%
“…( 9) can be written where the energy current I E (t) is given by setting µ = 0 in the expression for I Q (t). This solution applies to any initial state |ρ 0 ) that is diagonal in the energy basis, specified by the initial expectation values of the polarization 〈A 0 〉 ρ 0 and parity 〈p〉 ρ 0 subject to the constraint (54),…”
Section: General Analytical Resultsmentioning
confidence: 99%
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“…Conventional thermoelectric conversion is based on the Seebeck effect, where a temperature gradient drives a particle current to overcome a voltage bias to do work, known as a thermoelectric heat engine, or based on the Peltier effect, where a voltage bias drives a heat current from a low-temperature reservoir to a high-temperature reservoir, known as a thermoelectric refrigerator [1,2]. In recent years, thermoelectric conversion has been widely studied, both theoretically [3][4][5][6] and experimentally [7][8][9][10]. In particular, the relevant research has been expanded from two-terminal structures [11][12][13][14] to three-terminal [15][16][17][18][19][20] or even multi-terminal structures [21][22][23][24], from linear regime [25][26][27] to nonlinear regime [28][29][30][31][32], and from semiconductor systems [1,[33][34][35] to quantum systems [2-4, 6-10, 15-17, 36-39].…”
Section: Introductionmentioning
confidence: 99%