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https://github.com/Sinan81/shut-up-and-calculate
advanced solid state physics calculations with tight binding models
https://github.com/Sinan81/shut-up-and-calculate
Last synced: about 2 months ago
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advanced solid state physics calculations with tight binding models
- Host: GitHub
- URL: https://github.com/Sinan81/shut-up-and-calculate
- Owner: Sinan81
- License: mit
- Created: 2023-03-24T06:26:34.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-10T21:03:30.000Z (10 months ago)
- Last Synced: 2024-08-03T16:08:31.959Z (5 months ago)
- Language: Python
- Size: 153 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-physics - Shut up and calculate
README
This project is about plotting various standard properties of 2-dimensional tight-binding hamiltonians.
Keywords: computational condensed matter physics, Fermi surface, tight binding approximation, energy bands, cuprates, two-dimensional systems, many body physics
Our guiding principles are:
* "Keep it simple stupid!" (KISS) Avoid clever programming stuff, and reduce the barrier to get started and contribute!
* "Shut up and calculate!" Richard Feynman?
# Create a virtual python environment
Due to tkinter dependency for plotting, using a conda environment is preferred. Install miniconda: https://docs.conda.io/en/latest/miniconda.html Then create a conda environment like:
```
conda env create -f ./conda_environment.yml
conda env activate fermi
```
# Usage
```python
import warnings
warnings.filterwarnings('ignore')
from tba import *
get_list_of_models()
x = System(model=cuprate_single_band)
x.plot_bands()
x.plot_Fermi_surface_contour()
x.filling_vs_energy()
# calculate charge susceptibility \chi_c
x.chic.plot_vs_q()
```
# References
The following references are recommended for topics discussed in this repository:
* Piers Coleman, Introduction to Many Body Physics, 2015, Cambridge University Press
* Ashcroft & Mermin, Solid State Physics
# List of Topics
[Notation basics](docs/basics.md)
[Energy bands, Fermi Surface, Density of States](docs/bands.md)
[Susceptibility](docs/susceptibility.md)
[Random Phase Approximation (RPA)](docs/rpa.md)
# To-Do
- Multiband susceptibility
- Extended RPA (with ladder diagrams and non-local interactions)
- Adaptive susceptibility plots using python adaptive or scikit-optimize
- Mean field and broken symmetry calculations, and coexisting orders
- pytests etc
# Example Visuals
