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Exit code 139
Closed | Responses: 1
GaAs with biaxial strain, swept from -3% to +3% produces the following error:
Problem launching job: Program...
How extensively have nanoparticles been tested in the field of solar cells?
Closed | Responses: 2
I have seen research that has included silver nanoparticles placed in the wafers of Si. I’ve also seen GaN...
Is there a self-consistent schrodinger-poisson solver on nanohub?
Closed | Responses: 0
I’m new to nanohub, and I’m looking for a self-consistent schrodinger-poisson solver that can simulate http://nanohub.org/answers/question/619
ab initio Model for Mobility and Seebeck coefficient using Boltzmann Transport (aMoBT) equation
11 Jun 2015 | Contributor(s):: Alireza Faghaninia, Joel Ager (editor), Cynthia S Lo (editor)
ab initio electronic transport model to calculate low-field electrical mobility and Seebeck coefficient of semiconductors in Boltzmann transport framework.
Atomistic Modeling and Simulation Tools for Nanoelectronics and their Deployment on nanoHUB.org
16 Dec 2010 | | Contributor(s):: Gerhard Klimeck
At the nanometer scale the concepts of device and material meet and a new device is a new material and vice versa. While atomistic device representations are novel to device physicists, the semiconductor materials modeling community usually treats infinitely periodic structures. Two electronic...
Bulk Monte Carlo Code Described
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01 Jul 2008 | | Contributor(s):: Dragica Vasileska
In this tutorial we give implementation details for the bulk Monte Carlo code for calculating the electron drift velocity, velocity-field characteristics and average carrier energy in bulk GaAs materials. Identical concepts with minor details apply to the development of a bulk Monte Carlo code...
Bulk Monte Carlo: Implementation Details and Source Codes Download
01 Jun 2010 | | Contributor(s):: Dragica Vasileska, Stephen M. Goodnick
The Ensemble Monte Carlo technique has been used now for over 30 years as a numerical method to simulate nonequilibrium transport in semiconductor materials and devices, and has been the subject of numerous books and reviews. In application to transport problems, a random walk is generated to...
Comparison of PCPBT Lab and Periodic Potential Lab
04 Aug 2009 | | Contributor(s):: Abhijeet Paul, Samarth Agarwal, Gerhard Klimeck, Junzhe Geng
This small presentation provides information about the comparison performed for quantum wells made of GaAs and InAs in two different tools. This has been done to benchmark the results from completely two different sets of tools and validate the obtained results. In this presentation we provide...
DBR Laser Simulator
07 Sep 2012 | | Contributor(s):: Nikhil Sancheti, Lynford Goddard, Christopher Adam Edwards
Describes properties of a GaAs/AlGaAs DBR laser
Electronic band structure
09 Apr 2010 | | Contributor(s):: Saumitra Raj Mehrotra, Gerhard Klimeck
In solid-state physics, the electronic band structure (or simply band structure) of a solid describes ranges of energy in which an electron is "forbidden" or "allowed". The band structure is also often called the dispersion or the E(k) relationship. It is a mathematical relationship between the...
Epitaxial Strategies for High Power Optically Pumped Vertical External Cavity Surface Emitting Lasers and Metamorphic Antimonide Solar Cells
02 Nov 2016 | | Contributor(s):: Ganesh Balakrishnan
We present antimonide-based photovoltaic cells grown on GaAs and Silicon substrates for use as sub-cells in metamorphic multi-junction solar cells. These antimonide cells, based on GaSb, are designed to absorb near-infrared photons. The GaSb layer is grown on either GaAs or Silicon substrates.
Equipment, Techniques, and Growth of Ultra-High Purity AlGaAs-GaAs Heterostructures by Molecular Beam Epitaxy
25 May 2017 | | Contributor(s):: Geoff Gardner
In this talk I detail research and investigation into critical equipment and materials engineering issues related to the quality of the fabricated 2DEG systems. I also will present data that demonstrates the critical role gallium purity plays in 2DEG mobility.
Exploring New Channel Materials for Nanoscale CMOS
27 Jun 2013 | | Contributor(s):: Anisur Rahman
The improved transport properties of new channel materials, such as Ge and III-V semiconductors, along with new device designs, such as dual gate, tri gate or FinFETs, are expected to enhance the performance of nanoscale CMOS devices. Novel process techniques, such as ALD, high-# dielectrics, and...
nanoHUB Simulation Activity - Orientations of Common Single Crystal Substrates
06 Jun 2016 | | Contributor(s):: Tanya Faltens
NEW Version 2! (10/17/16) Now includes a link to the saved set of simulations, that can be shared instantly with any nanoHUB user. Other minor edits to update the activity and fix errors. In this activity, you will use Crystal Viewer to create crystal structures with surfaces that are...
Negative Differential Resistivity Exercise
28 Jun 2010 | | Contributor(s):: Gerhard Klimeck, Parijat Sengupta, Dragica Vasileska
In certain semiconductors such as GaAs and InP the average velocity as a function of field strength displays a maximum followed by a regime of decreasing velocity. Hilsum, Ridley, and Watkins postulated that peculiarities in the band structure of semiconductors would lead to the above phenomenon....
Quantitative Modeling and Simulation of Quantum Dots
16 Jul 2010 | | Contributor(s):: Muhammad Usman
Quantum dots grown by self-assembly process are typically constructed by 50,000 to 5,000,000 structural atoms which confine a small, countable number of extra electrons or holes in a space that is comparable in size to the electron wavelength. Under such conditions quantum dots can be interpreted...
Quantum Dot Wave Function (Quantum Dot Lab)
02 Feb 2011 | | Contributor(s):: Gerhard Klimeck, David S. Ebert, Wei Qiao
Electron density of an artificial atom. The animation sequence shows various electronic states in an Indium Arsenide (InAs)/Gallium Arsenide (GaAs) self-assembled quantum dot.
Quantum Dot Wave Function (still image)
31 Jan 2011 | | Contributor(s):: Gerhard Klimeck, David S. Ebert, Wei Qiao
Electron density of an artificial atom. The image shown displays the excited electron state in an Indium Arsenide (InAs) / Gallium Arsenide (GaAs) self-assembled quantum dot.
Rode's Method: Theory and Implementation
01 Jul 2010 | | Contributor(s):: Dragica Vasileska
This set of teaching materials provides theoretical description of the Rode's method for the low field mobility calculation that is accompanied with a MATLAB code for the low field mobility calculation for GaAs material at different temperatures and different doping concentrations. Note that the...