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Typical Workflow for 4D Data Processing
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Classroom Contents
Assisting 4D-STEM Data Processing by Machine Learning and Bayesian Optimization
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- 1 Intro
- 2 Epitaxial 2D lateral heterostructure
- 3 Graded 2D lateral heterojunctions
- 4 Large scale strain mapping
- 5 Ripples release the strain
- 6 Typical Workflow for 4D Data Processing
- 7 Odd diffraction intensity
- 8 Rotation invariant unsupervised learning
- 9 Uncovering ferroelectric domains
- 10 Machine leaming for nano beam 4D-STEM
- 11 Automate parameter tuning for ptychography
- 12 Bayesian Optimization with Gaussian Process
- 13 Cryogenic Electron Microscopy (cryo-EM) Cryo-EM
- 14 The bottleneck is sample preparation
