3D variational autoencoder for fingerprinting microstructure volume elements

Microstructure quantification is an important step towards establishing structure–property relationships in materials. Machine learning-based image processing methods have been shown to outperform conventional image processing techniques and are increasingly applied to microstructure quantification...

Full description

Bibliographic Details

Published in:	Computational materials science Vol. 259; p. 114145
Main Authors:	White, Michael D., Atkinson, Michael D., Plowman, Adam J., Shanthraj, Pratheek
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.09.2025
Subjects:	Crystal plasticity Feature learning Fingerprinting Machine learning Microstructure characterisation Surrogate model Microstructure characterisation Feature learning Crystal plasticity Fingerprinting Surrogate model Machine learning
ISSN:	0927-0256
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!