Understanding the Derivation of Effective Mass Approximation in Semiconductors

In summary, the conversation discusses the use of a free particle Hamiltonian in theoretical modelling of semiconductors and how it is derived. The expression for the energy of electrons in the bottom of the conduction band is shown to be parabolic in k, but it is not clear how this relates to differential operators. The conversation also mentions the use of the effective mass approximation in experimental results and the importance of obtaining a matching effective mass value in theoretical models.
  • #1
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I have noticed that in a lot of theoretical modelling of semiconductors you assume that the electrons living in the bottom of the conduction band obey a free particle Hamiltonian:

H = p^2/2m*

, where m* is the effective mass in the conduction band and p^2 is the usual differential operator. I am not sure how this is derived rigourously. I suppose you solve the band structure and show that as a function of k the band structure is parabolic in k about the minimum of the conduction band:

E ≈ E0 + ħ^2k^2/2m*

But how do you rigorously go from this expression, which contains the wave numbers k = (kx,ky,kz) back to differential operators? I hope you understand my question.
 
  • #3
I am not sure how it is rigorously defined, no doubt it has to do with the potential in the semiconductor. Perhaps you must find the actual wave numbers and approximate the dispersion relation to a parabolic one within the band of interest, with mass adjusted as fitting parameter? For the experimentalists the effective mass approximation is useful for describing results, so in some cases the aim for a theorist would be to obtain a matching effective mass value in a model that explains their experimental results.
 

What is the concept of Effective Mass Approximation?

Effective Mass Approximation is a concept in solid state physics that simplifies the description of electrons in a crystal lattice by treating them as free particles with an effective mass. This allows for easier calculations of electronic properties in materials.

How is Effective Mass Approximation used in research and industry?

Effective Mass Approximation is commonly used in research and industry to study the electronic properties of materials, such as their conductivity, band structure, and optical properties. It is also used to design and optimize electronic devices, such as transistors and solar cells.

What factors affect the accuracy of Effective Mass Approximation?

The accuracy of Effective Mass Approximation depends on several factors, including the crystal structure of the material, the number of electrons present, and the type of interactions between the electrons and the crystal lattice. Additionally, this approximation becomes less accurate at high energies and in materials with strong electron-electron interactions.

What are the limitations of Effective Mass Approximation?

Effective Mass Approximation is a simplified model that does not take into account all the complexities of the electron behavior in a crystal lattice. It does not consider the effects of quantum confinement, spin-orbit coupling, and other interactions that may be significant in certain materials. Therefore, it may not accurately predict the properties of materials in all cases.

Are there any alternative methods to Effective Mass Approximation?

Yes, there are alternative methods to Effective Mass Approximation that provide a more accurate description of electron behavior in materials. These include the use of more advanced theoretical models, such as Density Functional Theory, and experimental techniques, such as angle-resolved photoemission spectroscopy.

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