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Efficient Synthesis of Polyfunctionalized Benzenes in Water via Persulfate-promoted Benzannulation of α,β-Unsaturated Compounds and Alkynes
Published on: December 16, 2019
BenzDB, an Exhaustive Database of Benzenoids up to Nine 6-Membered Rings
Adrien Varet1, Cyril Terrioux1, Nicolas Prcovic1
1Aix Marseille Univ , CNRS, LIS, Marseille13397, France.
BenzDB is a new database of 8,392 neutral benzenoids, offering comprehensive structural, spectral, and magnetic data. This resource aids researchers studying polycyclic aromatic hydrocarbons (PAHs) and related materials.
Area of Science:
- Computational Chemistry
- Materials Science
- Chemical Informatics
Background:
- Polycyclic Aromatic Hydrocarbons (PAHs) are crucial in various scientific fields.
- Existing databases for PAHs are limited in scope and size.
- Neutral benzenoids represent a fundamental class of PAHs.
Purpose of the Study:
- To create an exhaustive database of neutral benzenoids.
- To provide comprehensive computational data for benzenoids.
- To facilitate research on PAH properties and applications.
Main Methods:
- Density Functional Theory (DFT) computations for property calculations.
- Generation of 8,392 neutral benzenoids up to nine hexagons.
- Inclusion of structural, graph-theoretical, vibrational, and magnetic properties.
Main Results:
- BenzDB contains extensive data on benzenoid structures and properties.
- Properties include optimized geometries, Kekulé structures, Clar covers, vibrational spectra, and NICS values.
- Comparison with existing PAH databases highlights BenzDB's comprehensiveness.
Conclusions:
- BenzDB is a valuable, accessible resource for the scientific community.
- The database supports research in areas like organic electronics and astrophysics.
- BenzDB is available via BenzAI software, Jupyter notebooks, and a REST API.
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