Atomscale Documentation
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      • ⚙️XPS analysis: How it works
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      • SEM Analysis (coming soon)
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      • RHEED
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    • 🔍Detecting Phase Transition
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    • 🔄Rotating RHEED Data
  • Literature
    • RHEED Analysis
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  • Unsupervised Algorithms
  • Additional Resources
  1. Literature

RHEED Analysis

Supporting Literature

PreviousRotating RHEED Data

Last updated 8 months ago

Unsupervised Algorithms

AtomCloud uses unsupervised algorithms for our dimensionality reduction and clustering

  • Principal component analysis (standard implementation)

  • PacMAP

  • HDBSCAN

PacMAP

HDBSCAN

Clustering

Streak-to-Spot Ratio

Additional Resources

Understanding important features of deep learning models for segmentation of high-resolution transmission electron microscopy images (Horwath, Et Al.)
Reflection High-Energy Electron Diffraction (Shuji Hasegawa)
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMap, and PaCMAP for Data Visualization (Wang, Et AL.)
hdbscan: Hierarchical density based clustering (McInnes, Et AL.)
Machine learning analysis of perovskite oxides grown by molecular beam epitaxy (Sydney, Et Al.)
Engineering ordered arrangements of oxygen vacancies at the surface of superconducting La2CuO4 thin films (Suyolcu, Et Al.)
Skill-Agnostic analysis of reflection high-energy electron diffraction patterns for Si(111) surface superstructures using machine learning (Asako Yoshinari, Et Al.)
Application of machine learning to reflection high-energy electron diffraction images for automated structural phase mappingPhysical Review Materials
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