Presentation + Paper
21 November 2023 Analysis of dissolution modes of partially protected poly(4-hydroxystyrene) in tetraalkylammonium hydroxide aqueous solutions using decision trees and support vector machine
Hitomi Betsumiya, Yuqing Jin, Yuko Tsutsui Ito, Takahiro Kozawa, Kazuo Sakamoto, Makoto Muramatsu
Author Affiliations +
Abstract
To investigate the development kinetics, this study categorized the dissolution dynamics in tetraalkylammonium hydroxide (TAAH) aqueous solutions into six classes based on frequency and impedance variations during the development process using quartz crystal microbalance (QCM) measurements. These classifications were examined against various material attributes via decision trees and support vector machine (SVM) models. The feature values included in this analysis comprised the length of alkyl chains, molecular weight, solute concentration, viscosity of developers, protection ratios, molar masses, contact angles, and surface free energy of polymer. Accuracy for the test dataset was approximately 0.80 and 0.75 for the decision trees and SVM, respectively, when validated.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hitomi Betsumiya, Yuqing Jin, Yuko Tsutsui Ito, Takahiro Kozawa, Kazuo Sakamoto, and Makoto Muramatsu "Analysis of dissolution modes of partially protected poly(4-hydroxystyrene) in tetraalkylammonium hydroxide aqueous solutions using decision trees and support vector machine", Proc. SPIE 12750, International Conference on Extreme Ultraviolet Lithography 2023, 127500J (21 November 2023); https://doi.org/10.1117/12.2687340
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Decision trees

Polymers

Support vector machines

Machine learning

Film thickness

Materials properties

Polymer thin films

Back to Top