Examining GNNs for Crystal Structures: Limitations and Opportunities for Capturing Periodicity

Examining GNNs for Crystal Structures: Limitations and Opportunities for Capturing Periodicity

Valence Labs via YouTube Direct link

- Graph Neural Networks

4 of 9

4 of 9

- Graph Neural Networks

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Examining GNNs for Crystal Structures: Limitations and Opportunities for Capturing Periodicity

Automatically move to the next video in the Classroom when playback concludes

  1. 1 - Intro
  2. 2 - Molecules vs. Crystals
  3. 3 - Representation of Crystal Structures
  4. 4 - Graph Neural Networks
  5. 5 - Global and Local Structural Descriptors
  6. 6 - Periodicity
  7. 7 - Pooling Function
  8. 8 - Summary and Conclusion
  9. 9 - Q&A and Discussion

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.