An artificial neural network to predict reactivity ratios in radical copolymerization
Kiarash Farajzadehahary, Xabier Telleria‐Allika, José M. Asúa, Nicholas Ballard
Abstract
An artificial neural network model is described which is capable of predicting reactivity ratios in radical copolymerization solely based on monomer chemical structures. It outperforms classical approaches, enabling prediction without kinetic data.
Topics & Concepts
CopolymerReactivity (psychology)Artificial neural networkMonomerComputer scienceChemistryBiological systemArtificial intelligenceOrganic chemistryPolymerBiologyAlternative medicineMedicinePathologyMachine Learning in Materials ScienceComputational Drug Discovery MethodsAdvanced Polymer Synthesis and Characterization