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Corrections of Molecular Morphology and Hydrogen Bond for Improved Crystal Density Prediction
Density prediction is of great significance for molecular design of energetic materials, since detonation velocity linearly with density and detonation pressure increases with the density squared. However, the accuracy and generalization of former reported prediction models need further improvement,...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983118/ https://www.ncbi.nlm.nih.gov/pubmed/31906099 http://dx.doi.org/10.3390/molecules25010161 |
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author | Wang, Linyuan Zhang, Miao Chen, Jie Su, Liang Zhao, Shicao Zhang, Chaoyang Liu, Jian Chen, Chunyan |
author_facet | Wang, Linyuan Zhang, Miao Chen, Jie Su, Liang Zhao, Shicao Zhang, Chaoyang Liu, Jian Chen, Chunyan |
author_sort | Wang, Linyuan |
collection | PubMed |
description | Density prediction is of great significance for molecular design of energetic materials, since detonation velocity linearly with density and detonation pressure increases with the density squared. However, the accuracy and generalization of former reported prediction models need further improvement, because most of them are derived from small data sets and few molecular descriptors. As shown in this paper, for molecules presenting brick-like shape or containing more hydrogen-bond donors the predicted densities have large negative deviations from experimental values. Thus, a molecular morphology descriptor η and a hydrogen-bond descriptor H(b) are introduced as correction items to build 3 new QSPR models. Besides, 3694 nitro compounds are adopted as data set by this work. The accuracies are obviously improved, and the generalizations are verified by an independent test set. At the level of B3PW91/6-31G(d,p), the effective ratios (ERs) of the 3 Equations, for Δρ < 5%, are 92.7%, 91.8%, and 93.3%; for Δρ < 2%, the values are 53.5%, 51.3%, and 54.7%. At the level of B3LYP/6-31G**, for Δρ < 5%, the values are 92.3%, 91.4% and 92.9%; for Δρ < 2%, the values are 53.7%, 51.4% and 53.2%. |
format | Online Article Text |
id | pubmed-6983118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69831182020-02-06 Corrections of Molecular Morphology and Hydrogen Bond for Improved Crystal Density Prediction Wang, Linyuan Zhang, Miao Chen, Jie Su, Liang Zhao, Shicao Zhang, Chaoyang Liu, Jian Chen, Chunyan Molecules Article Density prediction is of great significance for molecular design of energetic materials, since detonation velocity linearly with density and detonation pressure increases with the density squared. However, the accuracy and generalization of former reported prediction models need further improvement, because most of them are derived from small data sets and few molecular descriptors. As shown in this paper, for molecules presenting brick-like shape or containing more hydrogen-bond donors the predicted densities have large negative deviations from experimental values. Thus, a molecular morphology descriptor η and a hydrogen-bond descriptor H(b) are introduced as correction items to build 3 new QSPR models. Besides, 3694 nitro compounds are adopted as data set by this work. The accuracies are obviously improved, and the generalizations are verified by an independent test set. At the level of B3PW91/6-31G(d,p), the effective ratios (ERs) of the 3 Equations, for Δρ < 5%, are 92.7%, 91.8%, and 93.3%; for Δρ < 2%, the values are 53.5%, 51.3%, and 54.7%. At the level of B3LYP/6-31G**, for Δρ < 5%, the values are 92.3%, 91.4% and 92.9%; for Δρ < 2%, the values are 53.7%, 51.4% and 53.2%. MDPI 2019-12-31 /pmc/articles/PMC6983118/ /pubmed/31906099 http://dx.doi.org/10.3390/molecules25010161 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Linyuan Zhang, Miao Chen, Jie Su, Liang Zhao, Shicao Zhang, Chaoyang Liu, Jian Chen, Chunyan Corrections of Molecular Morphology and Hydrogen Bond for Improved Crystal Density Prediction |
title | Corrections of Molecular Morphology and Hydrogen Bond for Improved Crystal Density Prediction |
title_full | Corrections of Molecular Morphology and Hydrogen Bond for Improved Crystal Density Prediction |
title_fullStr | Corrections of Molecular Morphology and Hydrogen Bond for Improved Crystal Density Prediction |
title_full_unstemmed | Corrections of Molecular Morphology and Hydrogen Bond for Improved Crystal Density Prediction |
title_short | Corrections of Molecular Morphology and Hydrogen Bond for Improved Crystal Density Prediction |
title_sort | corrections of molecular morphology and hydrogen bond for improved crystal density prediction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983118/ https://www.ncbi.nlm.nih.gov/pubmed/31906099 http://dx.doi.org/10.3390/molecules25010161 |
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