Application of neural network technique for the estimation of C-H bond dissociation enthalpies, reaction rate constants and lifetimes of HFCs and HFEs
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- Urata Shingo
- Asahi Glass Co., Ltd.
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- Takada Akira
- Asahi Glass Co., Ltd.
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- Uchimaru Tadafumi
- National Institute of Advanced Industrial Science and Technology
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- Chandra Asit K.
- National Institute of Advanced Industrial Science and Technology
Bibliographic Information
- Other Title
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- Neural NetworkによるHFC、HFE類のC-H結合エンタルピー、OHラジカルとの反応速度、及び大気寿命推算
Description
The rate constants for the hydrogen abstraction reaction of hydrofluoroethers (HFEs) and hydrofluorocarbons (HFCs) with OH radicals at 298 K were estimated by using new empirical estimation method, which consists of two steps. In the beginning, we constructed an artificial neural network to calculate the bond dissociation enthalpies (BDEs) of the breaking C-H bond at 298 K by using topological descriptors defined only from molecular formula. Here we utilized the BDEs of 93 C-H sites, which are computed by (RO)B3LYP/6-311G** level, as training data. Next, the reaction rate constants were evaluated by using the estimated BDEs and a modified Heiklen's empirical equation. Consequently, the combination of these two empirical methods could estimate the rate constants of HFEs and HFCs with sufficient accuracy.
Journal
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- Proceedings of the Symposium on Chemoinformatics
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Proceedings of the Symposium on Chemoinformatics toyoha (0), JP07-JP07, 2001
Division of Chemical Information and Computer Sciences The Chemical Society of Japan
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Details 詳細情報について
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- CRID
- 1390001205736719616
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- NII Article ID
- 130004575270
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed