Poster Title:  Geometry optimization of polymers via ONIOM combined elongation method
Poster Abstract: 

Quantum chemical methods are computationally expensive, especially for large molecules. Therefore, many approximate reduced-scaling methods are proposed. In this work elongation (ELG), one of such methods is considered. ELG is based on simulation of the polymerization process. In this method, a polymer is divided into small units. On every step of calculation molecular orbitals of only several units are calculated, and then they are localized. On the next step next several units are calculated and so on, until the last unit is reached. Reduced-scaling is reached since only a small part of the polymer is considered along with the whole calculation. In previous works, electrostatic embedding was implemented via the introduction of partial atomic charges on positions of atoms in units not included in the current step of the calculation. This approach improved the reproduction of electronic structure of full polymer via the inclusion of long-range electrostatic interactions. In this work, we introduce also mechanical embedding in ELG based on ONIOM method. Following the ONIOM, all system should be divided into parts simulated on the different level of theory – high-level and low-level parts. In this approach, we consider simulated units as high-level part and all other units as low-level part. Therefore, the high-level part is conventional ELG, and low-level part provides mechanical constraints for units in high-level part. Mechanical embedding combined with electrostatic embedding inside conventional ELG is called elongation with mechanical and electrostatic embedding (ELG-IMEE). Such an approach improves geometry optimization of the full polymer. Results of optimization for a number of polymers will be shown in the presentation.


Poster ID:  B-6
Poster File:  PDF document B-6.pdf
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