Elizabeth A. Holm

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Papers (7)

1. High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel cs.CV · 2018 · author #4
2. A comparative study of feature selection methods for stress hotspot classification in materials stat.ML · 2018 · author #2
3. Applied Machine Learning to Predict Stress Hotspots II: Hexagonal close packed materials cond-mat.mtrl-sci · 2018 · author #2
4. Building Data-driven Models with Microstructural Images: Generalization and Interpretability cs.AI · 2017 · author #5
5. Applied Machine Learning to Predict Stress Hotspots I: Face Centered Cubic Materials cond-mat.mtrl-sci · 2017 · author #2
6. The structure and motion of incoherent {\Sigma}3 grain boundaries in FCC metals cond-mat.mtrl-sci · 2017 · author #2
7. Exploring the microstructure manifold: image texture representations applied to ultrahigh carbon steel microstructures cond-mat.mtrl-sci · 2017 · author #3

Mentions

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Frequent Coauthors

• Ankita Mangal 3 shared papers
• Brian L. DeCost 2 shared papers
• Toby Francis 2 shared papers
• Bo Lei 1 shared papers
• Brian DeCost 1 shared papers
• Bryce Meredig 1 shared papers
• Erin Antono 1 shared papers
• Jonathan Humberson 1 shared papers
• Julia Ling 1 shared papers
• Maxwell Hutchinson 1 shared papers