4.6 Article

Spin dependent molecular junction with graphene electrodes as a thermoelectric nanodevice

期刊

JOURNAL OF APPLIED PHYSICS
卷 133, 期 10, 页码 -

出版社

AIP Publishing
DOI: 10.1063/5.0131642

关键词

-

向作者/读者索取更多资源

Using Green's function method, the study examines spin-resolved thermoelectric quantum transport in a molecular junction with phenalene molecule and external graphene leads. The results show that applying magnetic exchange potential increases the Seebeck coefficients and generates a current even without bias voltage. The system acts as a spin filter at specific chemical potential and the current dramatically increases in parallel configuration.
Using Green's function method, spin-resolved thermoelectric quantum transport is examined in a molecular junction composed of a phenalene molecule connected to two external graphene leads with and without magnetic exchange potential application on the scattering region. Two different configurations of the system are considered: perpendicular and parallel leads. Theoretical results show that the application of the external exchange potential separates the Seebeck coefficients of different spin states and dramatically increases the coefficients. Furthermore, the temperature gradient between the left and right parts of the system generates a current of nanoAmpere order of magnitude even in the absence of a bias voltage. With the exchange potential, the current is spin-resolved and increased up to 50 times in comparison to the absence of the exchange potential. According to the results, the system acts as a spin filter at some specific chemical potential. Moreover, the current dramatically increases in parallel configuration compared to the perpendicular arrangement. Consequently, the proposed molecular device, with adjustable parameters and a magnificent Seebeck coefficient, can be a promising alternative to ordinary thermoelectric structures in the design of the new generation of thermal spintronic devices.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据