Abnormal nonlinear optical responses on the surface of topological materials

<jats:title>Abstract</jats:title><jats:p>The nonlinear optical (NLO) responses of topological materials are under active research. Most previous works studied the surface and bulk NLO responses separately. Here we develop a generic Green's function framework to investigate the...

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Bibliographic Details
Main Authors: Xu, Haowei (Author), Wang, Hua (Author), Li, Ju (Author)
Format: Article
Language:English
Published: Springer Science and Business Media LLC, 2022-06-15T18:16:06Z.
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Online Access:Get fulltext
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100 1 0 |a Xu, Haowei  |e author 
700 1 0 |a Wang, Hua  |e author 
700 1 0 |a Li, Ju  |e author 
245 0 0 |a Abnormal nonlinear optical responses on the surface of topological materials 
260 |b Springer Science and Business Media LLC,   |c 2022-06-15T18:16:06Z. 
856 |z Get fulltext  |u https://hdl.handle.net/1721.1/143456 
520 |a <jats:title>Abstract</jats:title><jats:p>The nonlinear optical (NLO) responses of topological materials are under active research. Most previous works studied the surface and bulk NLO responses separately. Here we develop a generic Green's function framework to investigate the surface and bulk NLO responses together. We reveal that the topological surface can behave disparately from the bulk under light illumination. Remarkably, the photocurrents on the surface can flow in opposite directions to those in the bulk interior, and the light-induced spin current on the surface can be orders of magnitude stronger than its bulk counterpart on a per-volume basis. We also study the responses under inhomogeneous field and higher-order NLO effect, which are all distinct on the surface. These anomalous surface responses suggest that light can be a valuable tool for probing the surface states of topological materials. Besides, the surface effects should be prudently considered when investigating the optical properties of topological materials.</jats:p> 
546 |a en 
655 7 |a Article 
773 |t 10.1038/s41524-022-00782-y 
773 |t npj Computational Materials