Newest implementation of GW approximation needs analytic continuation?

In summary, the newest implementation of GW approximation is a computational method in condensed matter physics that combines Green's function and screened Coulomb interactions to accurately predict the electronic properties of materials. It uses analytic continuation to find values of the self-energy function in the complex energy plane, making it crucial for accurate calculations. This newest version differs from previous ones in its use of more advanced algorithms and techniques for handling singularities, as well as its increased efficiency for studying larger and more complex systems. Its potential applications include studying electronic properties of various materials, investigating extreme conditions, and aiding in the development of new materials.
  • #1
bsmile
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I know that at early stage (around 1999), GW implementation uses Matusbara frequency to help calculating self energy, and then apply analytic continuation to change it to real frequency for subsequent calculation. I don't know whether this scheme has been superceded by other implementations for modern GW approximation. Can anybody suggest some references on the recent development and some implementation details on GW, or, anybody who has coded on it giving comments? Thanks,
 
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I'm sorry you are not generating any responses at the moment. Is there any additional information you can share with us? Any new findings?
 

1. What is the "Newest implementation of GW approximation"?

The newest implementation of GW approximation is a computational method used in condensed matter physics to calculate the electronic properties of materials. It combines the concepts of Green's function and screened Coulomb interactions to accurately predict the electronic structure of materials.

2. What is analytic continuation in the context of GW approximation?

Analytic continuation is a mathematical technique used to find the values of a function in a region where it is not explicitly defined. In the context of GW approximation, it is used to find the values of the self-energy function in the complex energy plane, which is necessary for accurate calculations.

3. Why is analytic continuation important in the newest implementation of GW approximation?

Analytic continuation is important in the newest implementation of GW approximation because it allows for the accurate calculation of the self-energy function, which is crucial for predicting the electronic properties of materials. Without it, the results of the calculation may not be reliable.

4. How does the newest implementation of GW approximation differ from previous versions?

The newest implementation of GW approximation differs from previous versions in several ways. It incorporates more advanced algorithms for calculating the self-energy function, and it also includes new techniques for handling the singularities that arise in the calculations. Additionally, it is more computationally efficient, allowing for larger and more complex systems to be studied.

5. What are the potential applications of the newest implementation of GW approximation?

The newest implementation of GW approximation has a wide range of potential applications in materials science, including the study of electronic properties of semiconductors, metals, and insulators. It can also be used to investigate the properties of materials under extreme conditions, such as high temperatures or pressures. Furthermore, it has the potential to aid in the development of new materials with specific electronic properties.

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