Expedited analysis of DFT outputs: Introducing moanalyzer
Abstract MOAnalyzer, a Matlab‐based program, has been developed to facilitate the analysis of density functional theory output files from ORCA. The program allows the user to define fragments within a molecule and then provides information on the contribution of each fragment to the molecular orbita...
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crwiley:10.1002/jcc.23028 2024-06-02T08:12:47+00:00 Expedited analysis of DFT outputs: Introducing moanalyzer Delgado‐Jaime, Mario Ulises DeBeer, Serena 2012 http://dx.doi.org/10.1002/jcc.23028 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjcc.23028 https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcc.23028 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Journal of Computational Chemistry volume 33, issue 27, page 2180-2185 ISSN 0192-8651 1096-987X journal-article 2012 crwiley https://doi.org/10.1002/jcc.23028 2024-05-03T11:44:48Z Abstract MOAnalyzer, a Matlab‐based program, has been developed to facilitate the analysis of density functional theory output files from ORCA. The program allows the user to define fragments within a molecule and then provides information on the contribution of each fragment to the molecular orbitals based on the Loewdin population analysis. Correlations to spectroscopy (X‐ray absorption and X‐ray emission) are also obtained, and the resulting information can be visualized in tables or MO diagrams. © 2012 Wiley Periodicals, Inc. Article in Journal/Newspaper Orca Wiley Online Library Journal of Computational Chemistry 33 27 2180 2185 |
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description |
Abstract MOAnalyzer, a Matlab‐based program, has been developed to facilitate the analysis of density functional theory output files from ORCA. The program allows the user to define fragments within a molecule and then provides information on the contribution of each fragment to the molecular orbitals based on the Loewdin population analysis. Correlations to spectroscopy (X‐ray absorption and X‐ray emission) are also obtained, and the resulting information can be visualized in tables or MO diagrams. © 2012 Wiley Periodicals, Inc. |
format |
Article in Journal/Newspaper |
author |
Delgado‐Jaime, Mario Ulises DeBeer, Serena |
spellingShingle |
Delgado‐Jaime, Mario Ulises DeBeer, Serena Expedited analysis of DFT outputs: Introducing moanalyzer |
author_facet |
Delgado‐Jaime, Mario Ulises DeBeer, Serena |
author_sort |
Delgado‐Jaime, Mario Ulises |
title |
Expedited analysis of DFT outputs: Introducing moanalyzer |
title_short |
Expedited analysis of DFT outputs: Introducing moanalyzer |
title_full |
Expedited analysis of DFT outputs: Introducing moanalyzer |
title_fullStr |
Expedited analysis of DFT outputs: Introducing moanalyzer |
title_full_unstemmed |
Expedited analysis of DFT outputs: Introducing moanalyzer |
title_sort |
expedited analysis of dft outputs: introducing moanalyzer |
publisher |
Wiley |
publishDate |
2012 |
url |
http://dx.doi.org/10.1002/jcc.23028 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjcc.23028 https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcc.23028 |
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Orca |
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Orca |
op_source |
Journal of Computational Chemistry volume 33, issue 27, page 2180-2185 ISSN 0192-8651 1096-987X |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/jcc.23028 |
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Journal of Computational Chemistry |
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33 |
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27 |
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2180 |
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2185 |
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1800759342219132928 |