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Updated: Jun 27, 2026

Studying the Effects of Temperature on the Nucleation and Growth of Nanoparticles by Liquid-Cell Transmission Electron Microscopy
Published on: February 17, 2021
Kinetics and microstructure associated with nonisothermal nucleation and growth processes
1Department of Materials Science and Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, USA. jmr6@lehigh.edu
Nonisothermal conditions significantly affect phase transformation kinetics and microstructure. Simulations and theoretical models reveal how heating rates influence grain area and transformation dynamics, aligning with experimental findings.
Area of Science:
- Materials Science
- Physical Chemistry
- Computational Physics
Background:
- First-order phase transformations are fundamental in materials processing.
- Understanding nonisothermal effects is crucial for controlling material properties.
- Existing models often simplify thermal conditions, limiting predictive accuracy.
Purpose of the Study:
- To investigate the impact of nonisothermal conditions on phase transformation kinetics.
- To analyze the evolution of microstructure during phase transitions under varying heating rates.
- To bridge simulation results with experimental observations.
Main Methods:
- Utilized N-fold Monte Carlo simulations for kinetic analysis.
- Employed correlation function formalism to describe microstructural evolution.
- Calculated microstructural descriptors, specifically grain area.
- Compared simulation data with theoretical predictions and experimental data (calorimetry, microscopy).
Main Results:
- Demonstrated a direct correlation between heating rates and microstructural development.
- Quantified the influence of nonisothermal conditions on transformation kinetics.
- Validated simulation results against theoretical models and experimental measurements.
- Identified key microstructural descriptors sensitive to thermal history.
Conclusions:
- Nonisothermal conditions play a critical role in determining the kinetics and microstructure of first-order phase transformations.
- The simulation approach provides a robust framework for predicting microstructural evolution under dynamic thermal conditions.
- The study enhances the understanding of phase transformation mechanisms relevant to materials engineering and processing.
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