Assisting 4D-STEM Data Processing by Machine Learning and Bayesian Optimization

Assisting 4D-STEM Data Processing by Machine Learning and Bayesian Optimization

Institute for Pure & Applied Mathematics (IPAM) via YouTube Direct link

Automate parameter tuning for ptychography

11 of 14

11 of 14

Automate parameter tuning for ptychography

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Assisting 4D-STEM Data Processing by Machine Learning and Bayesian Optimization

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

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