Effect of Dimension & Material Composition on Transmission Coefficient and Tunneling Current of Double Quantum Barrier Structure with Band Nonparabolicity
Journal Title: Bonfring International Journal of Man Machine Interface - Year 2012, Vol 2, Issue 4
Abstract
Transmission coefficient, eigen states and tunneling current density of a potentially symmetric quantum double barrier structure has been numerically computed using transfer matrix technique for qualitative analysis of resonant tunneling probability when realistic band structure of higher band gap material is taken into account. GaAs/AlxGa1-xAs material composition is taken as an example for calculation, and thickness of the barrier and well regions are varied along with material compositions of AlxGa1-xAs to study the effect on electrical parameters; and also to observe the existence of quasi-bound states. Effective mass mismatch at junctions is considered following envelope function approximation, and conduction band discontinuity is taken into account for computational purpose. Under low biasing condition, negative differential regions (NDR) can be obtained which speaks in favor of tunneling current.
Authors and Affiliations
Arpan Deyasi , Gourab Kumar Ghosh
Keywords
Related Articles
- EP ID EP130487
- DOI 10.9756/BIJPSIC.3129
- Views 123
- Downloads 0
Implementation of Wireless Underground Sensors Network
This paper instructs about Wireless Underground Sensor Networks (WUSNs) which constitute one of the promising application areas of the recently developed wireless sensor networking techniques. WUSN is a specialized kind...
Analysis on Double Disk Grinding Carry Plate Gearbox
The worm gear in carry plate gear box gets worn out within 2025 hours to 3000 hours of work time. We have design and analysed a standard gear box for reason for failure. The suggested gear box have undergone many constra...
ANN Model to Predict Coronary Heart Disease Based on Risk Factors
This paper presents a neural network based on Levenberg-Marquardt back-propagation algorithm for prediction of degree of angiographic coronary heart disease. The novelty of this work is training a one hidden layer neural...
Test Suite Skimming on Agent Based Model using Maximum Clique on a Modified Bee Colony Algorithm
The need for test case skimming is inevitable in almost all arenas of software testing owing to the business constraints on the drop dead date of the date of delivery to pass the QA cycle. Trade-offs are often needed to...