About this Abstract |
Meeting |
2025 TMS Annual Meeting & Exhibition
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Symposium
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Hume-Rothery Symposium on Thermodynamics of Microstructure Stability and Evolution
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Presentation Title |
Evolving Information Complexity of Coarsening Materials Microstructures
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Author(s) |
Jeffrey M. Rickman |
On-Site Speaker (Planned) |
Jeffrey M. Rickman |
Abstract Scope |
In this talk I will examine the kinetics of evolving synthetic and experimental microstructures, as quantified by their embodied information, to identify temporal signatures of the onset of abnormal grain growth. This is accomplished by tracking the information content of coarsening microstructures via selected metrics and measures of shared information and interaction strength. As the information content of a system is a proxy for the entropy, a thermodynamic description of grain growth is then outlined. Finally, I will describe an approach based on machine learning to predict abnormal grain growth well in advance of its occurrence. |
Proceedings Inclusion? |
Planned: |
Keywords |
Computational Materials Science & Engineering, Machine Learning, |