EventsMOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
Published
with-doi10.3390/mol2net-06-06945 (registering DOI)
This submission belongs to the session 03. CHEMBIOINFO-06: Chem-Bioinformatics Congress, München, Germany-Chapel Hill, USA, 2020. of the event MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
Published date
09 Oct, 2020
Citation
Andrey A. Toropov, Valentin O. Kudyshkin, Sayyora Sh. Rashidova, Constants of chain transmission in the radical polymerization as a mathematical function of the molecular structure of monomers and regulators, which are presented by SMILES, in Proceedings of MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed., 30 January 2020–30 January 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-06-06945
Share
Email
Facebook
Twitter
LinkedIn

Constants of chain transmission in the radical polymerization as a mathematical function of the molecular structure of monomers and regulators, which are presented by SMILES

Valentin O. Kudyshkin 1
image
1. Institute of Polymer Chemistry and Physics, Academy of Sciences of the Republic of Uzbekistan
2. Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156, Via Mario Negri 2, Milano, Italy
Abstract

The applying of radical polymerization techniques is an important economic and theoretical task of chemical technology. Hence, the elaboration of the radical polymerization processes has both theoretical and practical significance. The ability of the CORAL software to build up robust models for transfer constants in radical polymerization is demonstrated. The Monte Carlo technique is applied in the CORAL software as the principle of development of the models. For molecular fragments represented by simplified molecular input-line entry system (SMILES), correlation weights were selected that maximize the correlation coefficient between the logarithm of the chain transfer constants in radical polymerization log (1/Cs) and the descriptor calculated from the correlation weights for the training set (n = 25). This correlation was preserved for the external validation set in three optimization samples by the Monte Carlo method.

Keywords
Mathematical modelling
radical polymerization
SMILES
monomer
regulator
chain transfer constant
Manuscript
Hedychium Coronarium rhizomes essential oil. Main compounds and biological activity. An updated mini-review of the last 10 years.
Essential Oils as Natural Antimicrobial and Antioxidant Products in the Agrifood Industry