Simulation of Polymer Fractal Formation Using a Triangular Network Growth Model

Fractal formation in spin-coated thin-film polymers is of experimental and theoretical interest. Modeling the determinants and dynamics of this process will deepen our understanding of polymer aggregation and the predictability of thin-film structures. This is especially true if the model used has readily interpretable parameters and has been demonstrated to yield a close match to experimental processes under a variety of conditions. In this work, we adapted and applied a relatively new model of fractal growth comprised of a spreading and contracting triangular network, to model spin-coated, thin-film polymers made of poly(vinyl alcohol) on polydimethylsiloxane substrates. We drew clear connections between model parameters and the process of polymer aggregation and we demonstrated the ability of the model to simulate fractal formation under a wide variety of conditions including varying the degree of hydrolysis of the polymer, changing the spin-coating process, and solvent annealing and reforming of polymer fractals under different drying conditions. We also showed how the model is able to replicate idiosyncratic experimental settings yielding novel fractal patterns.

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Publication Details

Journal
Langmuir
Published
2024-09-27
DOI
https://doi.org/10.1021/acs.langmuir.4c02939
Citations
3
Primary Topic
Rheology and Fluid Dynamics Studies
Type
article
Field-Weighted Citation Impact
0.65

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article

Simulation of Polymer Fractal Formation Using a Triangular Network Growth Model

J. Tsou, Sophia M. Lee, Kenneth Mulder, Chen Wei et al.
3 citations
Langmuir
Rheology and Fluid Dynamics Studies
0.65
article

Simulation of Polymer Fractal Formation Using a Triangular Network Growth Model

J. Tsou, Sophia M. Lee, Kenneth Mulder, Chen Wei, Hannah Heierhoff
article en
3 citations

Abstract

Fractal formation in spin-coated thin-film polymers is of experimental and theoretical interest. Modeling the determinants and dynamics of this process will deepen our understanding of polymer aggregation and the predictability of thin-film structures. This is especially true if the model used has readily interpretable parameters and has been demonstrated to yield a close match to experimental processes under a variety of conditions. In this work, we adapted and applied a relatively new model of fractal growth comprised of a spreading and contracting triangular network, to model spin-coated, thin-film polymers made of poly(vinyl alcohol) on polydimethylsiloxane substrates. We drew clear connections between model parameters and the process of polymer aggregation and we demonstrated the ability of the model to simulate fractal formation under a wide variety of conditions including varying the degree of hydrolysis of the polymer, changing the spin-coating process, and solvent annealing and reforming of polymer fractals under different drying conditions. We also showed how the model is able to replicate idiosyncratic experimental settings yielding novel fractal patterns.

LangmuirVol. 40(40)
Mount Holyoke College (US), Hampshire College (US)
National Science Foundation
Openalex Percentile: Top 37%
Rheology and Fluid Dynamics Studies
0.65
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Simulation of Polymer Fractal Formation Using a Triangular Network Growth Model — J. Tsou, Sophia M. Lee, et al. · Langmuir (2024) | TGRS Research Map | TGRS