Predicting bond-currents in polybenzenoid hydrocarbons with an additivity scheme

Area of Science:

• Organic Chemistry
• Computational Chemistry

Background:

• Polybenzenoid hydrocarbons are crucial in materials science.
• Predicting their properties computationally is challenging.
• Existing methods may lack efficiency or broad applicability.

Purpose of the Study:

• To develop a novel, efficient bond-current additivity scheme for polybenzenoid hydrocarbons.
• To enable accurate prediction of properties for a wide range of these molecules.
• To establish the reliability and limitations of the new predictive method.

Main Methods:

• Construction of a bond-current additivity scheme based on smaller substructures (up to tricyclic).
• Utilizing a library of only four building blocks for prediction.
• Generating Nucleus Independent Chemical Shift (NICS) values from predicted bond-currents.

Main Results:

• The method accurately predicts properties of cata-condensed unbranched polybenzenoid hydrocarbons.
• NICS values generated validate previous additivity observations.
• Error boundaries are delineated, constant, and independent of molecular size.
• A relationship between prediction accuracy and molecular structure is identified.

Conclusions:

• The developed additivity scheme provides reliable characterization of polybenzenoid hydrocarbons.
• The method's strengths and weaknesses are clearly defined, ensuring predictable reliability.
• Its resource-efficient and rapid nature makes it suitable for screening and molecular design.