Charge-Carrier Transport in Large-Area Epitaxial Graphene

2017 ◽  
Vol 529 (11) ◽  
pp. 1700048 ◽  
Author(s):  
Ferdinand Kisslinger ◽  
Matthias Popp ◽  
Johannes Jobst ◽  
Sam Shallcross ◽  
Heiko B. Weber
2012 ◽  
Vol 717-720 ◽  
pp. 641-644
Author(s):  
Travis J. Anderson ◽  
Karl D. Hobart ◽  
Luke O. Nyakiti ◽  
Virginia D. Wheeler ◽  
Rachael L. Myers-Ward ◽  
...  

Graphene, a 2D material, has motivated significant research in the study of its in-plane charge carrier transport in order to understand and exploit its unique physical and electrical properties. The vertical graphene-semiconductor system, however, also presents opportunities for unique devices, yet there have been few attempts to understand the properties of carrier transport through the graphene sheet into an underlying substrate. In this work, we investigate the epitaxial graphene/4H-SiC system, studying both p and n-type SiC substrates with varying doping levels in order to better understand this vertical heterojunction.


2007 ◽  
Vol 989 ◽  
Author(s):  
Manuela Vieira ◽  
Yuri Vygranenko ◽  
Miguel Fernandes ◽  
Paula Louro ◽  
Pedro Sanguino ◽  
...  

AbstractThis paper investigates a feasibility of using a large area image sensor with an optically addressed readout for medical X-ray diagnostic imaging. A device prototype comprises a multilayer glass/ZnO:Al/p (a-SiC:H)/i (a-Si:H)/ n (a-SiC:H)/ i(a-Si:H)/p (a-SiC:H)/ a SiNx/ITO structure coupled to a scintillator layer. Here, the p-i-n-i-p structure works in both sensing and switching modes depending on the biasing conditions. A numerical simulation is used to optimize the semiconductor layer thicknesses in order to achieve a photocurrent matching between back-to-back diodes in switching mode. The charge carrier transport within the p-i-n-i-p structure is also analyzed under different electric and optical biasing conditions. A physical model supports the results.


2019 ◽  
Author(s):  
Hannes Hempel ◽  
Andrei Petsiu ◽  
Martin Stolterfoht ◽  
Pascal Becker ◽  
Dieter Neher ◽  
...  

2017 ◽  
Vol 8 (5) ◽  
Author(s):  
Michael C. Heiber ◽  
Klaus Kister ◽  
Andreas Baumann ◽  
Vladimir Dyakonov ◽  
Carsten Deibel ◽  
...  

1979 ◽  
Vol 53 (3-4) ◽  
pp. 271-280 ◽  
Author(s):  
S. C. Mathur ◽  
B. Kumar ◽  
Keya Roy

1984 ◽  
Vol 49 (6) ◽  
pp. 575-577 ◽  
Author(s):  
M. Fujino ◽  
Y. Kanazawa ◽  
H. Mikawa ◽  
S. Kusabayashi ◽  
M. Yokoyama

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