A Strongly Correlated Quantum-Dot Heat Engine with Optimal Performance: An Non-equilibrium Green's function Approach
Sachin Verma, Ajay

TL;DR
This paper analytically investigates a strongly correlated quantum dot heat engine using non-equilibrium Green's functions, exploring how Coulomb interactions and system parameters influence thermoelectric performance, with results aligning with recent experiments.
Contribution
It introduces a higher-order approximation beyond Hubbard-1 for analyzing strongly correlated quantum dot heat engines in the infinite-U limit, providing deeper insights into their operation and optimization.
Findings
Higher-order approximation is necessary for Coulomb blockade regime analysis.
The infinite-U limit results align well with experimental data.
System parameters like tunneling and load resistance significantly affect performance.
Abstract
We present an analytical study of a strongly correlated quantum dot-based thermoelectric particle-exchange heat engine for both finite and infinite on-dot Coulomb interaction. Employing Keldysh's non-equilibrium Green's function formalism for different decoupling schemes in the equation of motion, we have analyzed the thermoelectric properties within the non-linear transport regime. As the simplest mean-field approximation is insufficient for analyzing thermoelectric properties in the Coulomb blockade regime, one needs to employ a higher-order approximation to study strongly correlated QD-based heat engines. Therefore initially, we have used the Hubbard-\Romannum{1} approximation to study the quantum dot level position (), thermal gradient (), and on-dot Coulomb interaction () dependence of the thermoelectric properties. Furthermore, as a natural extension, we…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · nanoparticles nucleation surface interactions · Thermal Radiation and Cooling Technologies
