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Wu Y, Tang K. Estimation of the enthalpy of formation for monosubstituted alkanes by
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C NMR chemical shift. J PHYS ORG CHEM 2020. [DOI: 10.1002/poc.4102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Yaxin Wu
- School of Chemistry and Chemical Engineering University of South China Hengyang China
| | - Kai Tang
- School of Chemistry and Chemical Engineering Central South University Changsha China
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Cao CT, Yuan H, Cao C. New concept of organic homo-rank compounds and its application in estimating enthalpy of formation of mono-substituted alkanes. J PHYS ORG CHEM 2015. [DOI: 10.1002/poc.3405] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Chao-Tun Cao
- School of Chemistry and Chemical Engineering; Hunan University of Science and Technology, Key Laboratory of Theoretical Organic Chemistry and Function Molecule (Hunan University of Science and Technology), Ministry of Education, Hunan Provincial University Key Laboratory of QSAR/QSPR; Xiangtan 411201 China
| | - Hua Yuan
- School of Chemistry and Chemical Engineering; Hunan University of Science and Technology, Key Laboratory of Theoretical Organic Chemistry and Function Molecule (Hunan University of Science and Technology), Ministry of Education, Hunan Provincial University Key Laboratory of QSAR/QSPR; Xiangtan 411201 China
| | - Chenzhong Cao
- School of Chemistry and Chemical Engineering; Hunan University of Science and Technology, Key Laboratory of Theoretical Organic Chemistry and Function Molecule (Hunan University of Science and Technology), Ministry of Education, Hunan Provincial University Key Laboratory of QSAR/QSPR; Xiangtan 411201 China
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Gharagheizi F. Prediction of the Standard Enthalpy of Formation of Pure Compounds Using Molecular Structure. Aust J Chem 2009. [DOI: 10.1071/ch08522] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
A predictive approach has been presented to calculate the standard enthalpy of formation of pure compounds based on a quantitative structure–property relationship technique. A large number (1692) of pure compounds were used in this study. A genetic algorithm based on multivariate linear regression was used to subset variable selection. Using the selected molecular descriptors an optimized feed forward neural network was presented to predict the ΔHfo of pure compounds.
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