We theoretically investigate the effect of nanoparticle(NP) inclusion on the lattice thermal conductivity (κ _l ) of SnSe matrix. The theoretical approach involves the prediction of κ _l by varying the radius (R), density (D ₁), and volume fraction (ε) of NP in SnSe matrix. NP has strong anisotropic effect on the lattice thermal conductivity reduction along the crystallographic direction. We observe the existence of an optimal NP volume fraction that minimizes the nanocomposite's thermal conductivity. At room temperature, this value is found to be ε = 0.317 for which lattice thermal conductivity reduces by 35% with NP (R = 5 nm) compared to pure SnSe. An enhancement in the figure of merit (ZT) around room temperature opens up new opportunities for thermoelectric power generation at moderate temperatures. Even larger enhancement is possible in polycrystalline SnSe which will be helpful for thermoelectric devices.

我们调查理论上纳米颗粒（NP）的夹杂物的晶格热导率（效果κ _升位SnSe矩阵）。理论方法涉及的预测κ_升通过改变半径（[R ），密度（d ₁），和体积分数（ε在位SnSe矩阵NP的）。NP对沿结晶方向的晶格热导率降低具有强烈的各向异性作用。我们观察到存在最佳的NP体积分数，该分数可最大程度地降低纳米复合材料的热导率。在室温下，发现该值是ε = 0.317，对于该值，晶格热导率随NP（R = 5 nm）与纯SnSe相比。室温附近的品质因数（ZT）的提高为中等温度下的热电发电提供了新的机会。多晶SnSe甚至可以进行更大的增强，这将对热电器件有所帮助。