An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction

Title
An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction
Authors
Keywords
Machine learning, Computer vision, Image segmentation, K-means, CNN, U-10Mo, Microstructure, Metallography, Phase transformation, Discontinuous precipitation, JMAK, Johnson-Mehl-Avrami-Kolmogorov
Journal
MATERIALS CHARACTERIZATION
Volume -, Issue -, Pages 110379
Publisher
Elsevier BV
Online
2020-05-17
DOI
10.1016/j.matchar.2020.110379

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now