scholarly journals Highly Sensitive and Selective Potassium Ion Detection Based on Graphene Hall Effect Biosensors

Materials ◽  
2018 ◽  
Vol 11 (3) ◽  
pp. 399 ◽  
Author(s):  
Xiangqi Liu ◽  
Chen Ye ◽  
Xiaoqing Li ◽  
Naiyuan Cui ◽  
Tianzhun Wu ◽  
...  
2008 ◽  
Vol 129 (2) ◽  
pp. 734-740 ◽  
Author(s):  
Inhee Choi ◽  
Sung Koo Kang ◽  
Jeongjin Lee ◽  
Younghun Kim ◽  
Jongheop Yi

2014 ◽  
Vol 44 (10) ◽  
pp. 1641-1646 ◽  
Author(s):  
ChengZhi HUANG ◽  
Yue LIU ◽  
BoZhou ZOU ◽  
Jian WANG

2005 ◽  
Vol 117 (32) ◽  
pp. 5195-5198 ◽  
Author(s):  
Satoru Nagatoishi ◽  
Takahiko Nojima ◽  
Bernard Juskowiak ◽  
Shigeori Takenaka

2015 ◽  
Vol 112 (35) ◽  
pp. 10879-10883 ◽  
Author(s):  
Justin C. W. Song ◽  
Polnop Samutpraphoot ◽  
Leonid S. Levitov

We outline a designer approach to endow widely available plain materials with topological properties by stacking them atop other nontopological materials. The approach is illustrated with a model system comprising graphene stacked atop hexagonal boron nitride. In this case, the Berry curvature of the electron Bloch bands is highly sensitive to the stacking configuration. As a result, electron topology can be controlled by crystal axes alignment, granting a practical route to designer topological materials. Berry curvature manifests itself in transport via the valley Hall effect and long-range chargeless valley currents. The nonlocal electrical response mediated by such currents provides diagnostics for band topology.


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