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Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
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A Monte Carlo Potts model for solidification.

Sang-Ho Oh1, Byeong-Joo Lee2

  • 1Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.

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|May 4, 2026
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Summary
This summary is machine-generated.

A new Monte Carlo simulation model offers low-cost prediction of metallic product solidification, accurately capturing kinetics and microstructures for process optimization and materials science applications.

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Area of Science:

  • Materials Science
  • Computational Materials Science
  • Metallurgy

Background:

  • Accurate prediction of solidification behavior is crucial for optimizing metallic product manufacturing.
  • Current computational simulation methods for solidification are computationally expensive and impractical for widespread use.

Purpose of the Study:

  • To develop a computationally efficient simulation model for predicting solidification behavior.
  • To capture key solidification kinetics, including nucleation, grain growth, and epitaxial growth.

Main Methods:

  • Development of a simulation model based on the Monte Carlo algorithm.
  • Simultaneous accounting for nucleation, grain growth, and epitaxial growth.
  • Validation against common knowledge and experimental observations.

Main Results:

  • The developed model demonstrates low computational cost while effectively capturing solidification kinetics.
  • The model accurately reproduces solidification microstructures and quantitative kinetics.
  • Successful simulation of microstructural evolution at realistic process scales.

Conclusions:

  • The Monte Carlo-based simulation model provides an effective tool for microstructure design and process optimization in metallic products.
  • This model has broad applications in materials science for enhancing manufacturing processes.
  • The model overcomes the computational limitations of existing methods, enabling practical application.