Effective Mass Theory in Python (EMTpY) v. 1.0
Abstract
EMTpY is an implementation of effective mass theory in python. It is designed to simulate semiconductor qubits within a nonperturbative, multivalley effective mass theory framework using robust Gaussian basis sets.
 Authors:
 Sandia National Laboratories
 Publication Date:
 Research Org.:
 Sandia National Lab. (SNLNM), Albuquerque, NM (United States)
 Sponsoring Org.:
 USDOE
 OSTI Identifier:
 1344085
 Report Number(s):
 EMTpY; 005158MLTPL00
SCR #2185
 DOE Contract Number:
 AC0494AL85000
 Resource Type:
 Software
 Software Revision:
 00
 Software Package Number:
 005158
 Software CPU:
 MLTPL
 Source Code Available:
 Yes
 Country of Publication:
 United States
Citation Formats
Gamble, John, Jacobson, Noah Tobias, and Baczewski, Andrew. Effective Mass Theory in Python (EMTpY) v. 1.0.
Computer software. Vers. 00. USDOE. 6 Feb. 2017.
Web.
Gamble, John, Jacobson, Noah Tobias, & Baczewski, Andrew. (2017, February 6). Effective Mass Theory in Python (EMTpY) v. 1.0 (Version 00) [Computer software].
Gamble, John, Jacobson, Noah Tobias, and Baczewski, Andrew. Effective Mass Theory in Python (EMTpY) v. 1.0.
Computer software. Version 00. February 6, 2017.
@misc{osti_1344085,
title = {Effective Mass Theory in Python (EMTpY) v. 1.0, Version 00},
author = {Gamble, John and Jacobson, Noah Tobias and Baczewski, Andrew},
abstractNote = {EMTpY is an implementation of effective mass theory in python. It is designed to simulate semiconductor qubits within a nonperturbative, multivalley effective mass theory framework using robust Gaussian basis sets.},
doi = {},
year = {Mon Feb 06 00:00:00 EST 2017},
month = {Mon Feb 06 00:00:00 EST 2017},
note =
}

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