Additions and Corrections - Gas-Phase Nitrosation of Benzene. Implications for Solution Electrophilic Aromatic Substitution Reactions.

1980 ◽  
Vol 102 (7) ◽  
pp. 2513-2513
Author(s):  
W. Reents, Jr. ◽  
B. Freiser
Keyword(s):  
Gas Phase ◽  
Electrophilic Aromatic Substitution ◽  
Aromatic Substitution ◽  
Substitution Reactions

scholarly journals Gas-phase electrophilic aromatic substitution mechanism with strong electrophiles explained by ab initio non-adiabatic dynamics

2014 ◽  
Vol 16 (35) ◽  
pp. 18686-18689 ◽  
Author(s):  
Daniel Kinzel ◽  
Shmuel Zilberg ◽  
Leticia González
Keyword(s):  
Electron Transfer ◽  
Ab Initio ◽  
Gas Phase ◽  
Radical Pair ◽  
Electrophilic Aromatic Substitution ◽  
Single Electron Transfer ◽  
Aromatic Substitution ◽  
Substitution Reactions ◽  
Substitution Mechanism ◽  
Adiabatic Dynamics

Ultrafast single electron transfer producing a radical pair governs the formation of a σ-complex in gas-phase electrophilic aromatic substitution reactions.

Unveiling the Regioselectivity in Electrophilic Aromatic Substitution Reactions of Deactivated Benzenes through Molecular Electron Density Theory

2021 ◽  
Author(s):  
Luis R. Domingo ◽  
Mar Ríos-Gutiérrez ◽  
María José Aurell
Keyword(s):  
Electron Density ◽  
Electrophilic Aromatic Substitution ◽  
Benzene Derivatives ◽  
Aromatic Substitution ◽  
Substitution Reactions ◽  
Molecular Electron ◽  
Molecular Electron Density Theory

The origin of the meta regioselectivity in electrophilic aromatic substitution (EAS) reactions of deactivated benzene derivatives is herein analysed through Molecular Electron Density Theory (MEDT). To this end, the EAS...

scholarly journals RegioML: Predicting the regioselectivity of electrophilic aromatic substitution reactions using machine learning

2021 ◽  
Author(s):  
Nicolai Ree ◽  
Andreas H. Göller ◽  
Jan H. Jensen
Keyword(s):  
Machine Learning ◽  
Tight Binding ◽  
Reaction Centers ◽  
Gradient Boosting ◽  
Electrophilic Aromatic Substitution ◽  
Aromatic Substitution ◽  
Substitution Reactions ◽  
Test Set ◽  
Light Gradient ◽  
Out Of Sample

We present RegioML, an atom-based machine learning model for predicting the regioselectivities of electrophilic aromatic substitution reactions. The model relies on CM5 atomic charges computed using semiempirical tight binding (GFN1-xTB) combined with the ensemble decision tree variant light gradient boosting machine (LightGBM). The model is trained and tested on 21,201 bromination reactions with 101K reaction centers, which is split into a training, test, and out-of-sample datasets with 58K, 15K, and 27K reaction centers, respectively. The accuracy is 93% for the test set and 90% for the out-of-sample set, while the precision (the percentage of positive predictions that are correct) is 88% and 80%, respectively. The test-set performance is very similar to the graph-based WLN method developed by Struble et al. (React. Chem. Eng. 2020, 5, 896) though the comparison is complicated by the possibility that some of the test and out-of-sample molecules are used to train WLN. RegioML out-performs our physics-based RegioSQM20 method (J. Cheminform. 2021, 13:10) where the precision is only 75%. Even for the out-of-sample dataset, RegioML slightly outperforms RegioSQM20. The good performance of RegioML and WLN is in large part due to the large datasets available for this type of reaction. However, for reactions where there is little experimental data, physics-based approaches like RegioSQM20 can be used to generate synthetic data for model training. We demonstrate this by showing that the performance of RegioSQM20 can be reproduced by a ML-model trained on RegioSQM20-generated data.

The role of the lifetimes of ion–neutral complexes in gas-phase electrophilic aromatic substitution

1998 ◽  
Vol 283 (5-6) ◽  
pp. 307-312 ◽  
Author(s):  
Massimiliano Aschi ◽  
Marina Attinà ◽  
Giuseppe D'Arcangelo
Keyword(s):  
Gas Phase ◽  
Electrophilic Aromatic Substitution ◽  
Aromatic Substitution

Homoazulene electrophilic aromatic substitution reactions. Parallels to the chemistry of azulene

1989 ◽  
Vol 30 (3) ◽  
pp. 305-308 ◽  
Author(s):  
Lawrence T. Scott ◽  
Chris A. Sumpter ◽  
Mitsunori Oda ◽  
Ihsan Erden
Keyword(s):  
Electrophilic Aromatic Substitution ◽  
Aromatic Substitution ◽  
Substitution Reactions
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