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Localizing and quantifying the intra-monomer contributions to the glass transition temperature using artificial neural networks

Luis A. Miccio, Gustavo A. Schwartz

2020Polymer38 citationsDOIOpen Access PDF

Topics & Concepts

MonomerGlass transitionPolymerArtificial neural networkMaterials sciencePolymer scienceBiological systemSet (abstract data type)Polymer chemistryComputer scienceArtificial intelligenceComposite materialBiologyProgramming languageMachine Learning in Materials ScienceEpoxy Resin Curing ProcessesThermal and Kinetic Analysis
Localizing and quantifying the intra-monomer contributions to the glass transition temperature using artificial neural networks | Litcius