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Published on: June 4, 2021
AROFRAG─A Systematic Approach for Fragmentation of Aromatic Molecules.
Emran Masoumifeshani1, Tatiana Korona1
1Faculty of Chemistry, University of Warsaw, ul. Pasteura 1, 02-093 Warsaw, Poland.
A new aromatic fragmentation (AROFRAG) method preserves aromaticity by treating sextet rings as units. This approach accurately calculates electronic energies for PAHs, fullerenes, and nanotubes efficiently.
Area of Science:
- Computational Chemistry
- Materials Science
- Quantum Chemistry
Background:
- Polycyclic Aromatic Hydrocarbons (PAHs) are crucial in materials science.
- Accurate electronic energy calculations are vital for understanding molecular properties.
- Existing fragmentation methods can struggle with preserving aromaticity.
Purpose of the Study:
- To develop a novel, systematic fragmentation scheme for PAHs, fullerenes, and nanotubes.
- To preserve the fundamental unit of aromaticity during molecular decomposition.
- To enable accurate and computationally efficient electronic energy calculations.
Main Methods:
- Introducing the Aromatic Fragmentation (AROFRAG) approach, treating sextet rings as unbreakable units.
- Generating predefined elementary subsystems with weights to reconstruct the original molecule.
- Employing the molecule-in-molecule (MIM) technique for precise electronic energy descriptions.
- Applying AROFRAG to graphene, doped fullerenes, nanotubes, and fullerene molecules.
Main Results:
- The AROFRAG method successfully preserves aromaticity during fragmentation.
- Isomerization energies for graphene and doped fullerenes were accurately calculated.
- The combination of the third AROFRAG model and MIM achieved milli-hartree accuracy.
- Achieved accurate electronic energy reproduction at a significantly reduced computational cost.
Conclusions:
- AROFRAG offers a robust and efficient method for fragmenting complex aromatic systems.
- The AROFRAG-MIM combination provides a highly accurate and cost-effective approach for electronic energy calculations.
- This method advances the computational study of PAHs, fullerenes, and nanotubes.
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