Molecular Electron Densities via Machine Learning - IPAM at UCLA

Molecular Electron Densities via Machine Learning - IPAM at UCLA

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

Machine learning for DFT.. for molecules!

8 of 18

8 of 18

Machine learning for DFT.. for molecules!

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Molecular Electron Densities via Machine Learning - IPAM at UCLA

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

  1. 1 Intro
  2. 2 Acknowledgements
  3. 3 Introduction: Generating Free Energy Surfaces
  4. 4 Motivation: Generating Free Energy Surfaces
  5. 5 Motivation: Calculating Observables
  6. 6 Machine Learning for Molecular Dynamics
  7. 7 Machine leaming electron densities
  8. 8 Machine learning for DFT.. for molecules!
  9. 9 Training using nuclear coordinates vs. densities
  10. 10 Sampling strategy for training geometries
  11. 11 Machine learning for DFT malonaldehyde
  12. 12 Overlap of test and training data
  13. 13 Machine leaming for DFT+
  14. 14 A-learning for coupled cluster (via DFT)
  15. 15 A-learning for coupled cluster optimizations
  16. 16 Molecular dynamics with coupled cluster energies?
  17. 17 MD using combined models
  18. 18 Machine leaming for molecular systems

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.