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GrainBot: Quantifying multi-variable microstructure disorder in materials
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DOI：10.1016/j.matt.2025.102626.png)
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Abstract
En 中文
• CNN and custom algorithms enable multiple grain microstructure quantification • A fully quantified grain-level microstructure database was established • Interpretable ML and statistics reveal hidden links among microstructural features
Keywords:
CNN
custom algorithms
grain microstructure
interpretable ML
microstructure disorder
Journal
IF:
17.5
Papers:
2.5K
Citations:
1.8W