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pro vyhledávání: '"Barakati, Kamyar"'
Autor:
Barakati, Kamyar, Liu, Yu, Nelson, Chris, Ziatdinov, Maxim A., Zhang, Xiaohang, Takeuchi, Ichiro, Kalinin, Sergei V.
Rapid progress in aberration corrected electron microscopy necessitates development of robust methods for the identification of phases, ferroic variants, and other pertinent aspects of materials structure from imaging data. While unsupervised methods
Externí odkaz:
http://arxiv.org/abs/2411.12612
Automated experiments in scanning transmission electron microscopy (STEM) require rapid image segmentation to optimize data representation for human interpretation, decision-making, site-selective spectroscopies, and atomic manipulation. Currently, s
Externí odkaz:
http://arxiv.org/abs/2409.12462
The rise of electron microscopy has expanded our ability to acquire nanometer and atomically resolved images of complex materials. The resulting vast datasets are typically analyzed by human operators, an intrinsically challenging process due to the
Externí odkaz:
http://arxiv.org/abs/2404.14146
Akademický článek
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Publikováno v:
Microscopy & Microanalysis; 2024 Supplement, Vol. 30, p1-4, 4p
