What is the significance of Fractional Occupation Numbers in DFT?

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SUMMARY

Fractional Occupation Numbers (FONs) in Density Functional Theory (DFT) serve as a crucial numerical integration technique, particularly for metals. They facilitate smoother transitions in occupation across the Fermi surface, enhancing convergence rates when integrating over discrete grids. FONs can indicate charge delocalization, where a state expected to be fully occupied is instead fractionally occupied, potentially revealing physical realities or errors in DFT. Additionally, they allow for the simulation of energy dependence on occupation numbers, requiring a vanishing second derivative for accurate descriptions.

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  • Understanding of Density Functional Theory (DFT)
  • Familiarity with Fermi surfaces and their significance in solid-state physics
  • Knowledge of numerical integration techniques in computational physics
  • Basic grasp of charge delocalization concepts in quantum mechanics
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  • Study the role of Density Functional Theory in electronic structure calculations
  • Learn about numerical integration techniques for improving convergence in DFT
  • Investigate charge delocalization effects in solid-state systems
  • Review the paper referenced for detailed insights on fractional occupation numbers: http://journals.aps.org/prb/abstract/10.1103/PhysRevB.80.085202
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Researchers and practitioners in computational physics, particularly those focused on electronic structure calculations, solid-state physics, and the application of Density Functional Theory in materials science.

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What is the significance/physical interpretation of Fractional Occupation Numbers in DFT?
 
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Please provide a reference - though it's probably an average occupation.
Like the average family having 2.6 kids - what is the significance of a fractional kid?
 
@Simon :: Fractional Occupation Numbers with reference to Density Functional Theory.
 
Yes. I know. Answer stands.
By "reference" I mean like a book of an article you can show me that talks about the fractional occupation number, so I know the context and I'm not just guessing.
 
Fractional occupation is often used as a numerical integration technique for metals. If you have a Fermi surface and you're integrating over a discrete grid of points, the abruptness of the change in the occupation results in very slow convergence wrt the grid density. Using fractional occupations that smoothly go from 1 to 0 from the inside to the outside of the Fermi surface can be used to speed convergence.
 
There are different scenarios where fractional occupation numbers are useful. Here I give two:

1- They may indicate charge delocalization. So, a state which is supposed to be fully occupied is now fractionally occupied and the rest is spread over several ions. This situation could be the reality or an inherent error in DFT.

2- Fractionally occupied states my be intentionally simulated to check the energy dependence on the occupation number regarded as a continuous function. A correct description requires a vanishing second derivative for this function. Check figure 1 of this paper:
http://journals.aps.org/prb/abstract/10.1103/PhysRevB.80.085202
 

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