Determination of Reactivity Ratios from Binary Copolymerization Using the k-Nearest Neighbor Non-Parametric Regression.

Iosif Sorin Fazakas-Anca, Arina Modrea, Sorin Vlase

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Article in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed

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2 citing papers in PubMed.

Quantitative comparison of the copolymerisation kinetics in catalyst-transfer copolymerisation to synthesise polythiophenes.Polymer chemistry · 2024
Article
Investigation of the Conditions for the Synthesis of Poly(3,4-ethylenedioxythiophene) ATRP Macroinitiator.Polymers · 2023
Article

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Authors and funding

3 authors.

Iosif Sorin Fazakas-AncaAGIMED Sovata, 545500 Sovata, Romania.

Arina ModreaPharmacy, Science and Technology George Emil Palade Targu Mures, University of Medicine, 300134 Targu Mures, Romania.

Sorin VlaseDepartment of Mechanical Engineering, Transilvania University of Brasov, B-dul Eroilor 20, 500036 Brasov, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper proposes a new method for calculating the monomer reactivity ratios for binary copolymerization based on the terminal model. The original optimization method involves a numerical integration algorithm and an optimization algorithm based on k-nearest neighbour non-parametric regression. The calculation method has been tested on simulated and experimental data sets, at low (<10%), medium (10-35%) and high conversions (>40%), yielding reactivity ratios in a good agreement with the usual methods such as intersection, Fineman-Ross, reverse Fineman-Ross, Kelen-Tüdös, extended Kelen-Tüdös and the error in variable method. The experimental data sets used in this comparative analysis are copolymerization of 2-(

Indexed as

copolymerizationerror estimationk-NN regressionmonomersoptimizationpropagation ratereactivity ratios

Identifiers

PMID34771367

DOI10.3390/polym13213811

PMCPMC8588380

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