Reflection of the surface mode from an abrupt-ended dielectric tube waveguide

1992 ◽  
Vol 139 (3) ◽  
pp. 194 ◽  
Author(s):  
A.B. Manenkov
Keyword(s):  
Surface Mode ◽  
Dielectric Tube

scholarly journals Geographical Variability of the Deformation Radius of the First Surface Mode

2021 ◽  
Author(s):  
Zongshang Si ◽  
Chongguang Pang ◽  
Zhiliang Liu ◽  
Shihong Wang
Keyword(s):  
Surface Mode ◽  
Geographical Variability

Vertical cavity-surface emitting photonic crystal surface-mode lasers

2008 ◽  
Vol 91 (3-4) ◽  
pp. 475-478 ◽  
Author(s):  
D. Zhao ◽  
C. Zhou ◽  
Y. Zhang ◽  
L. Shi ◽  
X. Jiang
Keyword(s):  
Photonic Crystal ◽  
Crystal Surface ◽  
Cavity Surface ◽  
Surface Mode ◽  
Vertical Cavity Surface ◽  
Vertical Cavity

Mediating surface mode for intensive quasi-monochromatic evanescent wave tunneling

2017 ◽  
Vol 202 ◽  
pp. 58-63 ◽  
Author(s):  
Zi-xun Jia ◽  
Yong Shuai ◽  
Jia-hui Zhang ◽  
He-ping Tan
Keyword(s):  
Evanescent Wave ◽  
Surface Mode

Reorganization of the topological surface mode of topological insulating α-Sn

2021 ◽  
Author(s):  
Rui Tan ◽  
Qi Qi ◽  
Peng Wang ◽  
Yan-Qiang Cao ◽  
Rongrong Si ◽  
...  
Keyword(s):  
Band Gap ◽  
Valence Band ◽  
Structure Evolution ◽  
Surface Mode ◽  
Dirac Cone ◽  
Natural Structure ◽  
Topological Phase Transition ◽  
Topological Surface ◽  
Systematic Understanding ◽  
Work First

Abstract α-Sn is a topologically nontrivial semimetal in its natural structure. Upon compressively strained in plane, it transforms into a topological insulator. But, up to now, a clear and systematic understanding of the topological surface mode of topological insulating α-Sn is still lacking. In the present work, first-principle simulations are employed to investigate the electronic structure evolution of Ge1-xSnx alloys aiming at understanding the band reordering, topological phase transition and topological surface mode of α-Sn in detail. Progressing from Ge to Sn with increasing Sn content in Ge1-xSnx, the conduction band inverts with the first valence band and then with the second valence band sequentially, rather than inverting with the latter directly. Correspondingly, a topologically nontrivial surface mode arises in the first inverted band gap. Meanwhile, a fragile Dirac cone appears in the second inverted band gap as a result of the reorganization of the topological surface mode caused by the first valence band. The reorganization of the topological surface mode in α-Sn is very similar to the HgTe case. The findings of the present work are helpful for understanding and utilizing of the topological surface mode of α-Sn.

scholarly journals A comparison of ASCAT and modelled soil moisture over South Africa, using TOPKAPI in land surface mode

2010 ◽  
Vol 14 (4) ◽  
pp. 613-626 ◽  
Author(s):  
S. Sinclair ◽  
G. G. S. Pegram
Keyword(s):  
South Africa ◽  
Soil Moisture ◽  
Land Surface ◽  
Meteorological Data ◽  
Saturation Index ◽  
Significant Proportion ◽  
Surface Mode ◽  
Good Correspondence ◽  
Percentage Saturation ◽  
Soil Saturation

Abstract. In this paper we compare two independent soil moisture estimates over South Africa. The first estimate is a Soil Saturation Index (SSI) provided by automated real-time computations of the TOPKAPI hydrological model, adapted to run as a collection of independent 1 km cells with centres on a grid with a spatial resolution of 0.125°, at 3 h intervals. The second set of estimates is the remotely sensed ASCAT Surface Soil Moisture product, temporally filtered to yield a Soil Wetness Index (SWI). For the TOPKAPI cells, the rainfall forcing used is the TRMM 3B42RT product, while the evapotranspiration forcing is based on a modification of the FAO56 reference crop evapotranspiration (ET0). ET0 is computed using forecast fields of meteorological variables from the Unified Model (UM) runs done by the South African Weather Service (SAWS); the UM forecast fields were used, because reanalysis is not done by SAWS. To validate these ET0 estimates we compare them with those computed using observed meteorological data at a network of weather stations; they were found to be unbiased with acceptable scatter. Using the rainfall and evapotranspiration forcing data, the percentage saturation of the TOPKAPI soil store is computed as a Soil Saturation Index (SSI), for each of 6984 unconnected uncalibrated TOPKAPI cells at 3 h time-steps. These SSI estimates are then compared with the SWI estimates obtained from ASCAT. The comparisons indicate a good correspondence in the dynamic behaviour of SWI and SSI for a significant proportion of South Africa.

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