469241 A Combined Computational and Experimental Study of Copolymerization Kinetics for Glycidyl Methacrylate and Tert-Butyl Methacrylate

Wednesday, November 16, 2016
Grand Ballroom B (Hilton San Francisco Union Square)
Ying Yu1, Mona Bavarian2, Qing Pu2, Alison Schultz3 and Timothy E. Long3, (1)Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, (2)Brewer Science, Inc., Rolla, MO, (3)Department of Chemistry, Macromolecules and Interfaces Institute, Virginia Tech, Blacksburg, VA

Methacrylate families are widely used to prepare photoresists in the semiconductor industry.1 Numerous possible methacrylate polymerization recipes can be formulated to design products with desired properties including molecular weight, molecular weight distribution, and copolymer composition. Demand is growing to develop computational methods that improve the copolymerization product design and help with the product scale-up.2,3 While the reaction kinetics of simple monomers such as methyl methacrylate (MMA) have been studied extensively,3-11 more complex methacrylate monomers have been overlooked. In this work, a combined computational and experimental study on copolymerization kinetics of glycidyl methacrylate (GMA) and tert-butyl methacrylate (tBMA) was conducted to investigate the polymerization propagation kinetics. Density functional theory (DFT) was used to investigate the propagation kinetics and to calculate monomer reactivity ratios. A benchmark test of DFT methods was carried out on GMA self-propagation rate coefficients with experimental support.12 To improve the accuracy in thermochemical calculations, two tiers of treatment of vibrational frequencies were applied and compared, including a harmonic oscillator (HO) model13 and a one-dimensional hindered rotor (1D-HR) model14-18 with scale factors. Our results showed that the 1D-HR model generated a more accurate estimate of pre-exponential factors, rate constants, and reactivity ratios than the HO model. The calculated reactivity ratios and rate constants were then used in a polymerization kinetic model to predict the polymerization reaction rate and molecular weight. The predicted molecular weight was in good agreement with the experimental results.

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