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A Predictive machine-learning model for propagation rate coefficients in radical polymerization
Emma Van de Reydt
, Noam Marom
, James Saunderson
,
Mario Boley
, Tanja Junkers
Research output
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Article
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peer-review
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Dive into the research topics of 'A Predictive machine-learning model for propagation rate coefficients in radical polymerization'. Together they form a unique fingerprint.
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Keyphrases
Machine Learning Models
100%
Propagation Rate
100%
Predictive Machine Learning
100%
Radical Polymerization
100%
Single Approach
50%
Ridge Regression
50%
Kinetic Data
50%
Hydrogen Bonds (H-bonds)
50%
Good Accuracy
50%
Boiling Point
50%
Linear Structure
50%
Methacrylate
50%
Dipole Moment
50%
Molecular Properties
50%
Acrylate
50%
Arrhenius
50%
Absolute Rate Coefficients
50%
Branched Structure
50%
Activation Parameters
50%
Styrene
50%
Acrylonitrile
50%
Chemical Engineering
Learning System
100%
Free Radical Polymerization
100%
Styrene
50%
Pharmacology, Toxicology and Pharmaceutical Science
Monomer
100%
Methacrylic Acid Derivative
25%
Acrylic Acid Derivative
25%
Acrylonitrile
25%
Styrene
25%
Material Science
Free Radical Polymerization
100%