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arxiv: cond-mat/0211385 · v1 · submitted 2002-11-18 · ❄️ cond-mat.str-el

Optimizing thermal transport in the Falicov-Kimball model: binary-alloy picture

classification ❄️ cond-mat.str-el
keywords temperaturefalicov-kimballmodelparameterspacethermalapplicationsbinary-alloy
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We analyze the thermal transport properties of the Falicov-Kimball model concentrating on locating regions of parameter space where the thermoelectric figure-of-merit ZT is large. We focus on high temperature for power generation applications and low temperature for cooling applications. We constrain the static particles (ions) to have a fixed concentration, and vary the conduction electron concentration as in the binary-alloy picture of the Falicov-Kimball model. We find a large region of parameter space with ZT>1 at high temperature and we find a small region of parameter space with ZT>1 at low temperature for correlated systems, but we believe inclusion of the lattice thermal conductivity will greatly reduce the low-temperature figure-of-merit.

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