Calculating the Viscosity of Supercooled Liquids Using a Markov Network Model
Author Information
Author(s): Li Ju, Kushima Akihiro, Eapen Jacob, Lin Xi, Qian Xiaofeng, Mauro John C., Diep Phong, Yip Sidney
Primary Institution: University of Pennsylvania
Hypothesis
Can a Markovian Network model effectively calculate the shear viscosity of deeply supercooled liquids?
Conclusion
The study successfully demonstrates that a temperature-dependent 'terrain' can explain the viscosity behavior of supercooled liquids across a wide temperature range.
Supporting Evidence
- The model provides a quantitative connection between temperature variation and viscosity.
- The study shows a crossover from Arrhenius to super-Arrhenius behavior in viscosity.
- The results align well with experimental data for various supercooled liquids.
Takeaway
This study shows how scientists can use a special model to understand how thick liquids behave when they are cooled down a lot.
Methodology
The study uses a Markovian Network model to calculate shear viscosity based on numerical sampling of an atomistic energy landscape.
Limitations
The model relies on finite sampling of the energy landscape, which may not capture all variations.
Digital Object Identifier (DOI)
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