Unsupervised multi-channel DIP-TV reconstructs near-isotropic 3D elemental maps from limited-angle EDX tomography data using only EDX signals, applied to GST memory devices in virgin and SET states.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Unsupervised clustering applied to disk-detected nanobeam electron diffraction vectors automates decomposition of polycrystalline, single-crystal, and amorphous sample components.
citing papers explorer
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Unsupervised Deep Learning for Limited-Angle STEM-EDX Tomography -- Application to 3D Chemical Analysis of Phase-Change Memory Devices
Unsupervised multi-channel DIP-TV reconstructs near-isotropic 3D elemental maps from limited-angle EDX tomography data using only EDX signals, applied to GST memory devices in virgin and SET states.
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High Throughput Analysis of Nanobeam Electron Diffraction Datasets using Unsupervised Clustering
Unsupervised clustering applied to disk-detected nanobeam electron diffraction vectors automates decomposition of polycrystalline, single-crystal, and amorphous sample components.