Emerging Machine Learning-Based Data Analysis Techniques and Algorithms for Exploiting 4D-STEM Datasets-Reference-Cited by-同舟云学术

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Emerging Machine Learning-Based Data Analysis Techniques and Algorithms for Exploiting 4D-STEM Datasets

Published:2024-07 Issue:Supplement_1 Volume:30 Page:
ISSN:1431-9276
Container-title:Microscopy and Microanalysis
language:en
Short-container-title:

Author:

Ni Hsu-Chih¹²,Yuan Renliang³,Zhang Jiong³,Zuo Jain-Min¹²

Affiliation:

1. Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign , Urbana, IL , USA

2. Materials Research Laboratory, University of Illinois at Urbana-Champaign , Urbana, IL , USA

3. Intel Corporation, Corporate Quality Network , Hillsboro, OR , USA

Publisher

Oxford University Press (OUP)

Link

https://academic.oup.com/mam/article-pdf/30/Supplement_1/ozae044.907/58670083/ozae044.907.pdf

Reference7 articles.

1. OUP accepted manuscript

2. Evaluation of two-dimensional strain distribution by STEM/NBD

3. Unsupervised machine learning applied to scanning precession electron diffraction data

4. Framework of compressive sensing and data compression for 4D-STEM

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