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Published on: May 8, 2015
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Seeding method for ice nucleation under shear
Amrita Goswami1, Indranil Saha Dalal1, Jayant K Singh1
1Department of Chemical Engineering, Indian Institute of Technology Kanpur, Kanpur, India.
The Journal of Chemical Physics
|September 6, 2020
Summary
Hydrodynamic flow significantly impacts homogeneous nucleation rates. This study introduces a new theory and simulations to precisely calculate nucleation rates in sheared systems, revealing optimal shear rates for ice formation.
Area of Science:
- Thermodynamics and Fluid Dynamics
- Materials Science and Crystallization
- Computational Physics
Background:
- Homogeneous nucleation rates are sensitive to hydrodynamic flow, but theoretical frameworks are limited.
- Classical Nucleation Theory (CNT) does not fully account for shear effects.
- Understanding shear effects is crucial for various applications, including materials processing and atmospheric science.
Purpose of the Study:
- To develop a general theoretical formalism for calculating nucleation rates in simply sheared systems.
- To extend Classical Nucleation Theory by explicitly incorporating shear rate.
- To investigate the influence of shear on ice nucleation behavior using a specific water model.
Main Methods:
- Extension of Classical Nucleation Theory to include shear rate.
- Seeded molecular dynamics simulations.
- Analysis of competing energetic and kinetic effects of shear.
Main Results:
- Identified shear regimes for ice nucleation in the mW water model.
- Defined crossover shear rates (1000-10000 s⁻¹) where nucleation rate increases with shear.
- Determined optimal shear rates (≈10⁶-10⁷ s⁻¹) for maximum nucleation at specific temperatures (235-260 K).
- Observed strong nucleation inhibition at very high shear rates (>10⁸ s⁻¹).
- Found a non-monotonic temperature dependence for optimal shear rates.
Conclusions:
- The developed formalism accurately captures shear-induced changes in nucleation rates.
- Shear can be used to control and optimize ice nucleation.
- The findings unify disparate experimental trends and provide a predictive framework for shear-influenced nucleation.

