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Machine learning enabled autonomous microstructural characterization in 3D samples

Engineering and Technology

Machine learning enabled autonomous microstructural characterization in 3D samples

H. Chan, M. Cherukara, et al.

This groundbreaking research, conducted by Henry Chan, Mathew Cherukara, Troy D. Loeffler, Badri Narayanan, and Subramanian K. R. S. Sankaranarayanan, unveils a novel unsupervised machine learning technique that identifies and characterizes microstructures in 3D samples. With striking efficiency and accuracy, it tackles complex microstructural features affecting material behavior without needing prior descriptions.... show more
Citation Metrics
Citations
399
Influential Citations
1
Reference Count
39
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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