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Updated: Mar 6, 2026

Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
Published on: June 7, 2018
Kinetics of first-order phase transitions with correlated nuclei
J M Rickman1,2, K Barmak3
1Department of Physics, Lehigh University, Bethlehem, Pennsylvania 18015, USA.
Phase transition kinetics are visualized using point process statistics. This framework distinguishes nucleation scenarios and analyzes spatiotemporal correlations in phase transitions.
Area of Science:
- Physics
- Physical Chemistry
- Materials Science
Background:
- First-order phase transitions involve changes in material properties.
- Understanding transition kinetics is crucial for controlling material formation.
- Existing models may have limitations in describing complex nucleation behaviors.
Purpose of the Study:
- To develop a general framework for describing the time evolution of first-order phase transitions.
- To provide an intuitive method for visualizing transition kinetics.
- To analyze the impact of correlated nuclei on transition dynamics.
Main Methods:
- Utilizing the statistics of point processes to model phase transition kinetics.
- Examining attractive and repulsive nucleation scenarios.
- Analyzing isotropic domain growth at a constant rate.
- Calculating nonequilibrium, n-point spatiotemporal correlations.
Main Results:
- The time evolution of phase transitions can be generally described by point process statistics.
- This approach is applicable to both uncorrelated and correlated nuclei.
- The interpretation of the one-point function using stretched-exponential Kolmogorov-Johnson-Mehl-Avrami (KJMA) models is problematic for correlated nuclei.
- Higher-order correlation functions can differentiate between various nucleation scenarios.
Conclusions:
- Point process statistics offer an intuitive framework for visualizing and analyzing phase transition kinetics.
- The study highlights limitations of traditional KJMA interpretations with correlated nuclei.
- Calculating higher-order correlations is essential for a comprehensive understanding of nucleation dynamics.
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