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Updated: Jul 8, 2025
09:13
Characterization of Ultra-fine Grained and Nanocrystalline Materials Using Transmission Kikuchi Diffraction
Published on: April 1, 2017
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Evolving information complexity of coarsening materials microstructures.
J M Rickman1,2, K Barmak3, B Y Chen4
1Department of Physics, Lehigh University, Bethlehem, PA, 18015, USA. jmr6@lehigh.edu.
Scientific Reports
|December 16, 2023
Summary
This study introduces novel information-theoretic methods to analyze microstructural evolution in metals and ceramics. These techniques quantify information density and spectral entropy to better understand grain growth dynamics.
Area of Science:
- Materials Science
- Physics
- Information Theory
Background:
- Microstructural evolution in metals and ceramics significantly impacts material properties.
- Deviations from normal grain growth are common and influence mechanical and magnetic characteristics.
Purpose of the Study:
- To develop and apply information-theoretic approaches for analyzing microstructural evolution.
- To distinguish between different grain growth scenarios using quantifiable metrics.
Main Methods:
- Quantification of information content using computable information density (CID) and spectral entropy.
- Representation of microstructural evolution using time series (strings) and graph Laplacian spectra.
- Analysis of shared information and interaction strength.
Main Results:
- Characterization of dynamically evolving microstructures.
- Identification of correlation times for various coarsening scenarios.
- Demonstration of information content as a proxy for entropy in thermodynamic descriptions.
Conclusions:
- Information-theoretic methods provide a powerful framework for understanding microstructural dynamics.
- These approaches offer new insights into the thermodynamic aspects of grain growth.
- The study establishes a link between information content and material properties.
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