NatLabRockies/mxene_seg: Release for DOI

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Authors: graceguinan, Steven R. Spurgeon
Cited by: 0

Abstract

Python-based analysis code to classify the 3D distribution of point defects from atomic-resolution STEM images of multi-layer 2D materials.

Fields of Study & Subjects

Advanced Electron Microscopy Techniques and Applications MXene and MAX Phase Materials Machine Learning in Materials Science

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 March 2026
Language
EN