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Intro
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Classroom Contents
Bits and Atoms - Exploring the Intersection of Machine Learning and Microscopy
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- 1 Intro
- 2 About the Lab
- 3 Microscopes
- 4 Artificial Molecules
- 5 spectroscopic models
- 6 electron microscopy
- 7 previous work
- 8 sharing data
- 9 Variational models
- 10 Selfdriving microscope
- 11 Three types of experiments
- 12 Moving one atom at a time
- 13 Forward experiment
- 14 In principle
- 15 Problem with free trade neural nets
- 16 How to deal with uncertainty
- 17 Single vacancy lines
- 18 Inverse experiment
- 19 Optimization workflow
- 20 Deep Kernel Learning
- 21 Active Learning Invasion Optimization
- 22 Active Reports
- 23 Germani Mean Functions
- 24 Experiments
- 25 Selfdriving cars
