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Updated: Dec 9, 2025

The Use of High-resolution Infrared Thermography HRIT for the Study of Ice Nucleation and Ice Propagation in Plants

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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

This summary is machine-generated.

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.

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Ice Generation and the Heat and Mass Transfer Phenomena of Introducing Water to a Cold Bath of Brine

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Published on: March 13, 2017

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.