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Kinetic Monte Carlo for semiconductor surface science v.1

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/apam-kmc
https://doi.org/10.11578/dc.20220802.1

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Abstract

SAND2020-14229 O This software builds on an open source Kinetic Monte Carlo library to evaluate the incorporation rate of semiconductor dopant atoms in an Atomic Precision Advanced Manufacturing (APAM) process. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525
Developers:
Campbell, Quinn [1][2]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Release Date:
2021-01-21
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Python
Licenses:
GNU General Public License v3.0
Sponsoring Org.:
Code ID:
78088
Site Accession Number:
SCR #2587.0
Research Org.:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/apam-kmc
https://doi.org/10.11578/dc.20220802.1

SAVE / SHARE



SNL Badge

Citation Formats

Campbell, Quinn. Kinetic Monte Carlo for semiconductor surface science v.1. Computer Software. https://github.com/sandialabs/apam-kmc. USDOE. 21 Jan. 2021. Web. doi:10.11578/dc.20220802.1.
Campbell, Quinn. (2021, January 21). Kinetic Monte Carlo for semiconductor surface science v.1. [Computer software]. https://github.com/sandialabs/apam-kmc. https://doi.org/10.11578/dc.20220802.1.
Campbell, Quinn. "Kinetic Monte Carlo for semiconductor surface science v.1." Computer software. January 21, 2021. https://github.com/sandialabs/apam-kmc. https://doi.org/10.11578/dc.20220802.1.
@misc{ doecode_78088,
title = {Kinetic Monte Carlo for semiconductor surface science v.1},
author = {Campbell, Quinn},
abstractNote = {SAND2020-14229 O This software builds on an open source Kinetic Monte Carlo library to evaluate the incorporation rate of semiconductor dopant atoms in an Atomic Precision Advanced Manufacturing (APAM) process. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525},
doi = {10.11578/dc.20220802.1},
url = {https://doi.org/10.11578/dc.20220802.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20220802.1}},
year = {2021},
month = {jan}
}