{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Aestimo Tutorial #1" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Aestimo is a python module for modelling a type of semiconductor heterostructure called a quantum well. These are structures made up of nanometre thick layers of semiconductors and we want to model how electrons behave within them which has to be done using quantum mechanics. So, this is a topic within condensed matter physics and the study of crystal bandstructure. Quantum wells are interesting because they expose the quantum mechanical nature of electrons in a way that we can engineer and they are also useful technologically to make diode lasers, photodetectors ... [1,2,3]\n", "\n", "###Solvers\n", "Aestimo currently contains a choice of solvers in order to model the quantum states. The solvers are both 1-dimensional self-consistant Poisson-Schrodinger solvers for finding the envelope wavefunctions and energy levels of bound states within quantum wells. A self-consistant Poisson-Schrodinger solution is one that finds the wavefunctions and charge distribution for a given potential and then updates the electric field part of the potential using the new solution before solving again; thus the algorithm iterates/converges towards a solution where the wavefunctions and the electronic potential are self-consistant.\n", "\n", "Aestimo supports various types of semiconductors and arbitary quantum well designs. All the solvers take their parameters from the files `config.py`, `database.py` and an input file (`sample-*.py` files). The solvers can also be used as library modules as well as scripts.\n", "\n", "This first solver is only useful for conduction band states and finds the wavefunctions using the shooting-wave method [1]. This solver can be dramatically sped up by compiling a cython module (see `setup_cython.py`)\n", "\n", "+ `aestimo.py` is a conduction band Poisson-Schrodinger solver using the shooting-method. It can also account for the electron exchange interaction using an equation from Kohn-Sham density functional theory [4]. Additionally non-parabolicity of the in-plane dispersion curve can be modelled using an energy dependent effective mass, currently 2 models are implemented: Nelson's empirical 2-band model [4,5] and a k.p based model from Vurgaftman's 2001 paper [6]\n", " \n", "The next solver finds solutions for both the conduction and valence bands\n", "\n", "+ `aestimo_numpy_h.py` uses a finite-element model for both bands and a 3x3 k.p model for the valence band to account for mixing between the states. A k.p model is a more advanced model [1] than a quaisi-free electron model and can naturally account for nonparabolicity in each state's dispersion curves (although conduction band nonparabolicity is not currently accounted for since the conduction band is modelled separately from the valence band). This model also includes the effects of strain on the bandstructure. Since it uses a finite-element model, it behaves differently from the other solvers particularly for large grid sizes.\n", " \n", "In this tutorial, we will find the wavefunctions of a simple structure using `aestimo.py`. For this notebook to work, we just need to make sure that aestimo exists somewhere on the PYTHONPATH.\n", "\n", "Nb. In older versions of aestimo, `aestimo.py` was a different solver. It was a script rather than a library module (i.e. it ran immediately if imported) which made it less flexible to use. The current `aestimo.py` module corresponds to `aestimo_numpy2.py` in previous versions of aestimo. However, the original `aestimo.py` was deliberately kept simple in order to make it easier for someone to study how a simulation proceeds and it can still be found in the aestimo_elementary branch of the repository." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import aestimo.aestimo as solver" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "##`config.py`\n", "Here we will explicity rewrite the `config.py` module in order to show the various options. The inputfilename parameter is used when the solvers are run directly or by `main.py` or `main_iterating.py`; however in this case we will be using the module directly. Most of the other parameters are self-explanatory, they either control various algorithm's parameters or where and what output should be saved." ] }, { "cell_type": "code", "collapsed": false, "input": [ "# CONFIGURATION \n", "\n", "import aestimo.config as ac\n", "q = 1.602176e-19 #C\n", "meV2J=1e-3*q #meV to Joules\n", "\n", "# Input File(s)\n", "# -------------\n", "ac.inputfilename = \"sample-qw-barrierdope\"\n", "#ac.inputfilename = \"sample-qw-qwdope\"\n", "#ac.inputfilename = \"sample-moddop\"\n", "#ac.inputfilename = \"sample-qw-HarrisonCh3_3\"\n", "#ac.inputfilename = \"sample-qw-barrierdope-p\"\n", "#ac.inputfilename = \"sample-double-qw\"\n", "\n", "# Calculation\n", "# -----------\n", "# Aestimo / Aestimo_numpy\n", "ac.use_cython = True #provides a speed up for aestimo and aestimo_numpy\n", "# Shooting method parameters for Schr\u00f6dinger Equation solution\n", "ac.delta_E = 0.5*meV2J #Energy step (Joules) for initial search. Initial delta_E is 1 meV. \n", "ac.d_E = 1e-5*meV2J #Energy step (Joules) within Newton-Raphson method when improving the precision of the energy of a found level.\n", "ac.E_start = 0.0 #Energy to start shooting method from (if E_start = 0.0 uses minimum of energy of bandstructure)\n", "ac.Estate_convergence_test = 1e-9*meV2J\n", "# FermiDirac\n", "ac.FD_d_E = 1e-9 #Initial and minimum Energy step (meV) for derivative calculation for Newton-Raphson method to find E_F\n", "ac.FD_convergence_test = 1e-6 #meV\n", "ac.np_d_E = 1.0 # Energy step (meV) for dispersion calculations\n", "# Poisson Loop\n", "ac.damping = 0.5 #averaging factor between iterations to smooth convergence.\n", "ac.max_iterations=80 #maximum number of iterations.\n", "ac.convergence_test=1e-6 #convergence is reached when the ground state energy (meV) is stable to within this number between iterations.\n", "\n", "# Aestimo_numpy_h\n", "ac.strain = True # for aestimo_numpy_h\n", "ac.piezo=True\n", "#Set material type used in the structure \n", "ac.Wurtzite=True\n", "ac.Zincblind=False\n", "\n", "# Output Files\n", "# ------------\n", "ac.output_directory = \"outputs\"\n", "ac.parameters = True\n", "ac.electricfield_out = True\n", "ac.potential_out = True\n", "ac.sigma_out = True\n", "ac.probability_out = True\n", "ac.states_out = True\n", "\n", "# Result Viewer\n", "# -------------\n", "ac.resultviewer = True\n", "ac.wavefunction_scalefactor = 200 # scales wavefunctions when plotting QW diagrams\n", "# Messages\n", "# --------\n", "ac.messagesoff = False\n", "ac.logfile = 'aestimo.log'" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "#Here, we will alter the default settings of the config.py file for the purposes of this tutorial\n", "ac.use_cython = False\n", "ac.messagesoff = True" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "##`database.py`\n", "At the moment, the database is very simple and consists only of dictionaries of parameters. Materials are described in the dict materialproperty and alloys are described in the dict alloyproperty." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import aestimo.database as adatabase\n", "from pprint import pprint\n", "\n", "pprint(adatabase.materialproperty['GaAs'])" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "{'Ac': -7.17,\n", " 'Av': 1.16,\n", " 'B': -1.7,\n", " 'Band_offset': 0.65,\n", " 'C11': 11.879,\n", " 'C12': 5.376,\n", " 'Eg': 1.519,\n", " 'Ep': 28.8,\n", " 'F': -1.94,\n", " 'GA1': 6.8,\n", " 'GA2': 1.9,\n", " 'GA3': 2.73,\n", " 'a0': 5.6533,\n", " 'delta': 0.341,\n", " 'epsilonStatic': 12.9,\n", " 'm_e': 0.067,\n", " 'm_e_alpha': 5.3782e+18,\n", " 'm_hh': 0.45,\n", " 'm_lh': 0.087}\n" ] } ], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "##Modelling a Structure\n", "We are going to model a simple barrier doped quantum well with AlGaAs for the barriers and GaAs for the well layer." ] }, { "cell_type": "code", "collapsed": false, "input": [ "class Structure(object): pass\n", "s = Structure() # this will be our datastructure\n", "\n", "# TEMPERATURE\n", "s.T = 60.0 #Kelvin\n", "\n", "# COMPUTATIONAL SCHEME\n", "# 0: Schrodinger\n", "# 1: Schrodinger + nonparabolicity\n", "# 2: Schrodinger-Poisson\n", "# 3: Schrodinger-Poisson with nonparabolicity\n", "# 4: Schrodinger-Exchange interaction\n", "# 5: Schrodinger-Poisson + Exchange interaction\n", "# 6: Schrodinger-Poisson + Exchange interaction with nonparabolicity\n", "s.computation_scheme = 3\n", "\n", "# Non-parabolic effective mass function\n", "# 0: no energy dependence\n", "# 1: Nelson's effective 2-band model\n", "# 2: k.p model from Vurgaftman's 2001 paper\n", "s.meff_method = 2\n", "\n", "# Non-parabolic Dispersion Calculations for Fermi-Dirac\n", "s.fermi_np_scheme = True #needed only for aestimo_numpy2.py\n", "\n", "# QUANTUM\n", "# Total subband number to be calculated for electrons\n", "s.subnumber_e = 3\n", "# Total subband number to be calculated for electrons (needed only for aestimo_numpy_h)\n", "s.subnumber_h = 1 \n", "\n", "# APPLIED ELECTRIC FIELD\n", "s.Fapplied = 0.00/50e-9 # (V/m)\n", "\n", "# --------------------------------\n", "# REGIONAL SETTINGS FOR SIMULATION\n", "# --------------------------------\n", "\n", "# GRID\n", "# For 1D, z-axis is choosen\n", "s.gridfactor = 0.1 #nm\n", "s.maxgridpoints = 200000 #for controlling the size\n", "\n", "# REGIONS\n", "# Region input is a two-dimensional list input.\n", "# An example:\n", "# | Thickness (nm) | Material | Alloy fraction | Doping(cm^-3) | n or p type |\n", "# Layer 0 | 250.0 | Si | 0 | 1e16 | n |\n", "# Layer 1 | 250.0 | Si | 0 | 1e16 | p |\n", "#\n", "s.material =[[ 10.0, 'AlGaAs', 0.3, 0.0, 'n'],\n", " [ 5.0, 'AlGaAs', 0.3, 5e17, 'n'],\n", " [ 5.0, 'AlGaAs', 0.3, 0.0, 'n'],\n", " [ 11.0, 'GaAs', 0, 0, 'n'],\n", " [ 5.0, 'AlGaAs', 0.3, 0.0, 'n'],\n", " [ 5.0, 'AlGaAs', 0.3, 5e17, 'n'],\n", " [ 10.0, 'AlGaAs', 0.3, 0.0, 'n']]" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 10 }, { "cell_type": "code", "collapsed": false, "input": [ "# Initialise structure class\n", "structure = s\n", "model = solver.StructureFrom(structure,adatabase) # structure could also be a dictionary.\n", " \n", "#calculate QW states\n", "result = solver.Poisson_Schrodinger(model)\n", "\n", "# Write the simulation results in files\n", "%matplotlib inline\n", "solver.save_and_plot(result,model)\n", "solver.logger.info(\"Simulation is finished.\")" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stderr", "text": [ "Total layer number: 7\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "INFO:aestimo:Total layer number: 7\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "Total number of materials in database: 20\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "INFO:aestimo:Total number of materials in database: 20\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "calculation time 13.6481 s\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "INFO:aestimo:calculation time 13.6481 s\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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rVl2z/eqseJLWbt0qf9tjx8KaNXDpUuVvW9zYND8duX79epo0aYKPj8+/XuWg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\nQgghhBAZUCWMEEIIIUQG/w9Xysn2PXPMnwAAAABJRU5ErkJggg==\n", 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HstfwFqbFjL09sGmTmE17gUvGFQm3bwNvvQWsWwdUqmTeNp59XcqVE69lQADw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\nlJSUUKdOHYKDgwkJCSE8PJwWLVrQsmVLWrVqRUxMDO3btycoKMi273a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Bm5sbNWrUoGPHjiQnJxv8Q/X4XaJ79uyhXbt22NraYm1tzX//+1/u3LmjX29t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gAAAg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\n6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OOc6zkaVG2Qb8cWQh1S4yYAqVVQh8ROPW8bP0VRuHDhAgMGDMDR0ZHMzEx8fX3Zt29f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\ns2nTpoEu02U9yN+Ozs5OPvnkE55++ul7bnNAz+PmK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"text": [ "" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "Simulation is finished.\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "INFO:aestimo:Simulation is finished.\n" ] } ], "prompt_number": 11 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can get the energy levels of the model from the results object" ] }, { "cell_type": "code", "collapsed": false, "input": [ "print 'state, Energy, Population, effective mass'\n", "print ' ,meV , cm**-1 , m_e**-1'\n", "for num,E,N,meff in zip(range(result.subnumber_e),result.E_state,result.N_state,result.meff_state):\n", " print '%5d %7g %11.3g, %7.3g' %(num,E,N,meff)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "state, Energy, Population, effective mass\n", " ,meV , cm**-1 , m_e**-1\n", " 0 1051.43 5e+15, 6.25e-32\n", " 1 1123.57 3.55e+10, 6.66e-32\n", " 2 1225.94 60.8, 7.34e-32\n" ] } ], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": [ "1. Paul Harrison, *Quantum Wells, Wires and Dots*, 3rd. Ed. (Wiley, 2010).\n", "2. John Singleton, *Band Theory and Electronic Properties of Solids*, 1st Ed. (Oxford University Press, 2001).\n", "3. Mark Fox, *Optical Properties of Solids*, 2nd Ed. (Oxford University Press, 2010).\n", "4. Manfred Manfred, *Intersubband Transitions in Quantum Wells: Physics and Device Applications I.*, Ch.1, edited by H.C.Liu and F. Capasso. (Academic Press, Semiconductors and Semimetals Series, 2000).\n", "5. D.F. Nelson et al., Phys. Rev. B **35**, 7770 (1987)\n", "6. I. Vurgaftman, J.R. Meyer, JR, L.R. Ram-Mohan, *Band parameters for III\u2013V compound semiconductors and their alloys*, Journal of applied physics, **89**(11), 5815\u20135875 (2001)." ] } ], "metadata": {} } ] }