Conditional Probability Density Functional Theory - IPAM at UCLA

Conditional Probability Density Functional Theory - IPAM at UCLA

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

Pair distribution functions

23 of 31

23 of 31

Pair distribution functions

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Conditional Probability Density Functional Theory - IPAM at UCLA

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  1. 1 Intro
  2. 2 Outline
  3. 3 Three recent papers from us
  4. 4 A different approach to electronic structure
  5. 5 Usual notation
  6. 6 Conditional probabilities and holes
  7. 7 Hohenberg-Kohn map
  8. 8 Conditional probability potential
  9. 9 Approximate CP-KS potential
  10. 10 Intuitive motivation: quantum
  11. 11 Motivation: classical
  12. 12 Ground-state uniform gas
  13. 13 Problems with high density limit
  14. 14 Hooke's atom
  15. 15 Hydrogen dimer dissociation
  16. 16 Hy energy components
  17. 17 Free energy of uniform gas
  18. 18 Error in free energy
  19. 19 Zero temp uniform gas
  20. 20 XC holes from LBEA
  21. 21 Failure and fix up for high densities
  22. 22 Spin-DFT CP calculation
  23. 23 Pair distribution functions
  24. 24 TF for uniform gas
  25. 25 1D exact calculations
  26. 26 Exact conditions
  27. 27 PBE Comparison at Low Temperature
  28. 28 Uniform Electron Gas Comparison
  29. 29 Nonzero Gradients
  30. 30 Origins and missing references
  31. 31 Summary

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