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Stochastic Density Functional Theory - IPAM at UCLA

Stochastic Density Functional Theory - IPAM at UCLA

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

Self-averaging

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Self-averaging

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Stochastic Density Functional Theory - IPAM at UCLA

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  1. 1 Intro
  2. 2 Stochastic orbitals and trace formula
  3. 3 Stochastic KS-DFT
  4. 4 Self-averaging
  5. 5 Too many stochastic orbitals needed!
  6. 6 Role of the buffer region
  7. 7 Energy window + embedding
  8. 8 Application: Warm Dense Matter
  9. 9 Finite Temperature SDFT
  10. 10 Nonmetal-to-Metal Transition

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