COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
Spin Hall EffectAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Gareth Conduit. Spin Hall effect (SHE) refers to the generation of transverse spin current in non-magnetic solids by an applied electric field due to relativistic spin-orbit coupling. Spin current generation, detection and manipulation are three key elements of the emerging spintronics. Large room temperature SHE not only provides dissipationless spin current but also is used to probe spin current and to drive magneto-electronic devices with little power consumption. Recent intensive research on SHE has also led us to such topical fields as topological insulators and spin caloritronics. In this talk, I will first give an overview on SHE . This will be followed by a presentation of my own theoretical investigations on SHE , including Berry phase theory and ab initio relativistic band structure method [1,2], large intrinsic SHE in metals [2-3] and gigantic SHE due to multi-orbital Kondo effect in gold with iron impurities [4-5]. [1] G. Y. Guo, Y. Yao and Q. Niu, Phys. Rev. Lett. 94, 226601 (2005) [2] G. Y. Guo, S. Murakami, T. W. Chen, and N. Nagaosa, Phys. Rev. Lett. 100, 096401 (2008) [3] G. Y. Guo, J. Appl. Phys. 105, 07C701 (2009) [4] G. Y. Guo, S. Maekawa, and N. Nagaosa, Phys. Rev. Lett. 102, 036401 (2009) [5] B. Gu, J.-Y. Gan, N. Bulut, T. Ziman, G. Y. Guo, N. Nagaosa and S. Maekawa, Phys. Rev. Lett. 105, 086401 (2010). This talk is part of the Theory of Condensed Matter series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsHorizon Seminars Innovation Forum Cambridge Humanist Group - meet up Wolfson Research Event 2016 The Audrey Richards Annual Lecture in African StudiesOther talksSacred Mountains as Flood Refuge Sites in Northwest North America Interconversion of Light and Electricity in Molecular Semiconductors Prof Murray Shanahan: Artificial Intelligence Statistical Learning Theory |