Optimal thermoelectric induced by Cooper pair splitting

We study the optimal output power and efficiency of the thermoelectric induced by Cooper pair splitting(CPS). Due to its particular properties such as additional electron injection to the Quantum Dots system, Cooper pair splitting has been regarded as a powerful and available candidate of quantum heat engine. It is well known that elastic cotunnelling process coexist with CPS and several parameters such as temperature difference, bias voltage, Coulomb interaction. Which is most important is one of the key problems to determine the performance of the heat engine. We show the parametric dependence of the output power and efficiency and find the optimal performance of this heat engine with CPS through genetic algorithm. •The performance of Quantum heat engine can be improved by Cooper pair splitting.•There are many parameters to influence the performance.•MOGA is a good intellegence optimization algorithm to find the optimal output power and efficiency.•The result is given by the Pareto front which can be chosen in experiments or engineering.