SYVA: A program to analyze symmetry of molecules based on vector algebra
Symmetry is a useful concept in physics and chemistry. It can be used to find out some simple properties of a molecule or simplify complex calculations. In this paper a simple vector algebraic method is described to determine all symmetry elements of an arbitrary molecule. To carry out the symmetry...
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ftdatacite:10.17632/xd4g8hyjf2.1 2023-05-15T17:53:44+02:00 SYVA: A program to analyze symmetry of molecules based on vector algebra Gyevi-Nagy, László 2017 https://dx.doi.org/10.17632/xd4g8hyjf2.1 https://data.mendeley.com/datasets/xd4g8hyjf2/1 unknown Mendeley https://dx.doi.org/10.1016/j.cpc.2017.01.019 https://dx.doi.org/10.17632/xd4g8hyjf2 GNU Public License Version 3 info:eu-repo/semantics/openAccess http://www.gnu.org/licenses/gpl-3.0.en.html Natural Sciences dataset Dataset 2017 ftdatacite https://doi.org/10.17632/xd4g8hyjf2.1 https://doi.org/10.1016/j.cpc.2017.01.019 https://doi.org/10.17632/xd4g8hyjf2 2021-11-05T12:55:41Z Symmetry is a useful concept in physics and chemistry. It can be used to find out some simple properties of a molecule or simplify complex calculations. In this paper a simple vector algebraic method is described to determine all symmetry elements of an arbitrary molecule. To carry out the symmetry analysis, a program has been written, which is also capable of generating the framework group of the molecule, reveal the symmetry properties of normal modes of vibration and symmetrize the structure. To demonstrate the capabilities of the program, it is compared to other common widely used stand-alone symmetry analyzer (SYMMOL, Symmetrizer) and molecular modeling (NWChem, ORCA, MRCC) software. SYVA can generate input files for molecular modeling programs, e.g. Gaussian, using precisely symmetrized molecular structures. Possible applications are also demonstrated by integrating SYVA with the GAMESS and MRCC software. Dataset Orca DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
topic |
Natural Sciences |
spellingShingle |
Natural Sciences Gyevi-Nagy, László SYVA: A program to analyze symmetry of molecules based on vector algebra |
topic_facet |
Natural Sciences |
description |
Symmetry is a useful concept in physics and chemistry. It can be used to find out some simple properties of a molecule or simplify complex calculations. In this paper a simple vector algebraic method is described to determine all symmetry elements of an arbitrary molecule. To carry out the symmetry analysis, a program has been written, which is also capable of generating the framework group of the molecule, reveal the symmetry properties of normal modes of vibration and symmetrize the structure. To demonstrate the capabilities of the program, it is compared to other common widely used stand-alone symmetry analyzer (SYMMOL, Symmetrizer) and molecular modeling (NWChem, ORCA, MRCC) software. SYVA can generate input files for molecular modeling programs, e.g. Gaussian, using precisely symmetrized molecular structures. Possible applications are also demonstrated by integrating SYVA with the GAMESS and MRCC software. |
format |
Dataset |
author |
Gyevi-Nagy, László |
author_facet |
Gyevi-Nagy, László |
author_sort |
Gyevi-Nagy, László |
title |
SYVA: A program to analyze symmetry of molecules based on vector algebra |
title_short |
SYVA: A program to analyze symmetry of molecules based on vector algebra |
title_full |
SYVA: A program to analyze symmetry of molecules based on vector algebra |
title_fullStr |
SYVA: A program to analyze symmetry of molecules based on vector algebra |
title_full_unstemmed |
SYVA: A program to analyze symmetry of molecules based on vector algebra |
title_sort |
syva: a program to analyze symmetry of molecules based on vector algebra |
publisher |
Mendeley |
publishDate |
2017 |
url |
https://dx.doi.org/10.17632/xd4g8hyjf2.1 https://data.mendeley.com/datasets/xd4g8hyjf2/1 |
genre |
Orca |
genre_facet |
Orca |
op_relation |
https://dx.doi.org/10.1016/j.cpc.2017.01.019 https://dx.doi.org/10.17632/xd4g8hyjf2 |
op_rights |
GNU Public License Version 3 info:eu-repo/semantics/openAccess http://www.gnu.org/licenses/gpl-3.0.en.html |
op_doi |
https://doi.org/10.17632/xd4g8hyjf2.1 https://doi.org/10.1016/j.cpc.2017.01.019 https://doi.org/10.17632/xd4g8hyjf2 |
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1766161438092558336 |