Data for: Learning acoustic emission signatures from a nanoindentation-based lithography process: Towards rapid microstructure characterization

Published: 31 March 2020| Version 1 | DOI: 10.17632/w6kf99pt6b.1
Contributor:
Ashif Iquebal

Description

The zip file contains the Python implementation of the machine learning algorithm presented in the manuscript titled "Learning acoustic emission signatures from a nanoindentation-based lithography process: Towards rapid microstructure characterization". Additional details are provided in the zip fie.

Files

Categories

Machine Learning, Microstructure, Nanoindentation, Acoustic Emission Testing

Licence