Generating Reference Data and Controlling Accuracy in DFT and Hybrid DFT Simulations

Generating Reference Data and Controlling Accuracy in DFT and Hybrid DFT Simulations

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

Diamond

12 of 21

12 of 21

Diamond

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Generating Reference Data and Controlling Accuracy in DFT and Hybrid DFT Simulations

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  1. 1 Acknowledgements
  2. 2 Context: DFT-Molecular Dynamics
  3. 3 Improving DFT Accuracy: Jacob's Ladder
  4. 4 Improving DFT Accuracy (the Escher view)
  5. 5 First-Principles Molecular Dynamics
  6. 6 Solving the Kohn-Sham equations
  7. 7 All-electron atom
  8. 8 Pseudopotential: definition
  9. 9 Pseudopotentials: a recipe
  10. 10 Norm-conserving potentials
  11. 11 All-electron plane wave calculations (AEPW) • Qbox code 1.74.1 (GPL)
  12. 12 Diamond
  13. 13 Silicon (Z=14)
  14. 14 Reducing the cost of hybrid DFT: Using localized orbitals
  15. 15 Maximally localized Wannier functions
  16. 16 Truncation of Wannier functions
  17. 17 Recursive Subspace Bisection
  18. 18 Localization of orbitals in inhomogeneous systems
  19. 19 Truncation error due to bisection
  20. 20 PBEO MD simulations of water
  21. 21 Summary

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