📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Quantification of Slip Band Distribution in Polycrystals: An Automated Fast Fourier Transform Decomposition Approach (2023)

First Author: León-Cázares F

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/micmic/ozad002

Publication URI: http://dx.doi.org/10.1093/micmic/ozad002

Type: Journal Article/Review

Parent Publication: Microscopy and Microanalysis

Issue: 2