Nanodevice

The object of the current research manuscript is to analyze the valley-spin thermoelectric properties and Nernst coefficient at two different temperatures for ferromagnetic silicene superlattice. Photon-assisted tunneling probability is used to identify the resolved thermoelectric parameters including (valley, spin, and charge) electronic thermal conductance, Seebeck coefficient, figure of merit, and also electrical conductance and Nernst coefficient. The results show oscillatory behavior to all investigated parameters. The improved data of Seebeck coefficient (valley, spin, and charge) could be because of quantum confinement effect of the present investigated nanodevice. The figure of merit (valley, spin, and charge) attains quite high values with good high thermoelectric efficiency. The enhancement of Nernst coefficient (valley, spin, and charge) might consider Nernst effect is suitable for thermoelectric heat energy conversion system of the present flexible ferromagnetic silicene superlattice. The ferromagnetic silicene superlattice nanodevices are good candidates for flexible renewable energy generation as demonstrated by this analysis.