We propose four different models of three-terminal quantum dot thermoelectric devices. From general thermodynamic laws, we examine the reversible efficiencies of the four different models. Based on the master equation, the expressions for the efficiency and power output are derived and the corresponding working regions are determined. Moreover, we particularly analyze the performance of a three-terminal hybrid quantum dot refrigerator. The performance characteristic curves and the optimal performance parameters are obtained. Finally, we discuss the influence of the nonradiative effects on the optimal performance parameters in detail.
In this paper, we propose a pair of symmetric three-terminal refrigerator models with a hot cavity connected to two colder reservoirs via ideal tunneling quantum dots. The cooling of the refrigerators is achieved by investing thermal power from a hot reservoir and electric power from an applied voltage. Based on the model proposed, we numerically analyze the performance of the refrigerators with different half width of energy levels, and particularly discuss the coefficient of performance for zero applied voltage in the limit of a small half level width. Finally, we optimize with half width of energy levels and get the optimal region of the refrigerators.
<p>Supplementary Table S1: Clinicopathological Characteristics of 24 NPC and 24 NCNBT Supplementary Table S2: Clinical Characteristics of Nasopharyngeal Carcinoma Patients According to Gene Methylation Panel in Training, Validation, and Independent Cohorts. Supplementary Table S3: Primer Sequences of 28 Genes and GAPDH Supplementary Table S4: Primer Used for Pyrosequencing Methylation Analysis of Candidate Genes Supplementary Table S6: Data Analysis with PubMeth and NCBI PubMed Supplementary Table S7: Correlation Analysis between Methylation of Six Genes in the Training Cohort</p>
<p>Supplementary Table S1: Clinicopathological Characteristics of 24 NPC and 24 NCNBT Supplementary Table S2: Clinical Characteristics of Nasopharyngeal Carcinoma Patients According to Gene Methylation Panel in Training, Validation, and Independent Cohorts. Supplementary Table S3: Primer Sequences of 28 Genes and GAPDH Supplementary Table S4: Primer Used for Pyrosequencing Methylation Analysis of Candidate Genes Supplementary Table S6: Data Analysis with PubMeth and NCBI PubMed Supplementary Table S7: Correlation Analysis between Methylation of Six Genes in the Training Cohort</p>
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