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# vaspvis A highly flexible and customizable library for visualizing electronic structure data from VASP calculations. Find the full documentation [here](https://vaspvis.readthedocs.io/en/latest/modules.html) or by clicking the docs icon below. [](https://vaspvis.readthedocs.io/en/latest/?badge=latest) # Usage This package was designed to give VASP users a flexible and easy to understand method for generating a wide variaty of band structures and density of states plots. There are four main modules in this package: - `Band` - `Dos` - `standard` - `utils` The `Band` and `Dos` modules allow for the highest level of flexibility because the user needs to pass in their own matplotlib axis, letting the user completely design the external appearence of their plot. The `Band` and `Dos` modules will then parse the VASP output data and append the it to the axis. The `standard` module uses the `Band` and `Dos` modules internally and was designed for those people who are not familiar with matplotlib or don't need to completely customize their own figure. There are a total of 48 different styles of plots to choose from in this module. It gives the user the capability to project onto any orbital, any atom, or any element in their structure, as well as individual orbitals on any atom or element. There are also options for spin polarized band structures and density of states as well, letting the user make intricate plots with only a few lines of code. The `utils` module is used to generate files for band unfolding calculations. # Installation ```bash pip install vaspvis ``` # Loading Data ```python from vaspvis import Band, Dos # Non-HSE Calculation (plain band structure) bs = Band(folder='path to vasp output folder') # Band Calculation (projected band structure) bs_projected = Band(folder='path to vasp output folder', projected=True) # Density of states (projected or non-projected) dos = Dos(folder='path to vasp output folder') ``` **Important Note:** This package parses the EIGENVAL, PROCAR, KPOINTS, POSCAR, and INCAR files, be sure that they are in the folder you load into vaspvis. **Important Note:** For spin projected orbitals you must load the spin up and spin down chanels separately using the `spin = 'up'` or `spin = 'down'` options with loading data. Default is `spin = 'up'`. # Band Unfolding Band unfolding is useful for visualizing band structures of supercells and slab structures. The method used for calculating the band unfolded structure requires an integer transformation matrix from the bulk structure. To convert the slab structure so it has an integer matrix, the `convert_slab` function can be used to generate the new slab structure and also return the transformation matrix (M). More information about the band unfolding method can be found [here](https://wiki.fysik.dtu.dk/gpaw/tutorials/unfold/unfold.html) ```python from vaspvis.utils import convert_slab # This function returns and prints out the transformation matrix (M) M = convert_slab( bulk_path='POSCAR_bulk', # POSCAR of the primitive bulk structure slab_path='POSCAR_slab', # POSCAR of the slab structure index=[1,1,1], # Miller index of the given slab structure ) ``` To generate the KPOINTS file for the band unfolded calculation the `generate_kpoints` function can be used ```python from vaspvis.utils import generate_kpoints high_symmetry_points = [ [0.5,0.0,0.5], # X [0.0,0.0,0.0], # Gamma [0.5,0.0,0.5], # X ] generate_kpoints( M=M, # M can be generated with the convert slab function high_symmetry_points=high_symmetry_points, # Special points n=50, # Number of segments between each special point ) ``` To plot the band structure the `Band` or `standard` module can be used. An example using the standard module is shown below. ```python from vaspvis import standard as st band_folder = 'PATH_TO_VASP_FOLDER' # Transformation matrix generated from convert_slab M = [ [0,1,-1], [1,-1,0], [-8,-8,-8] ] high_symm_points = [ [0.5, 0.0, 0.5], # X [0.0, 0.0, 0.0], # Gamma [0.5, 0.0, 0.5] # X ] # All other functions in the standard library work with band unfolding too. st.band_plain( folder=band_folder, erange=[-4,0], unfold=True, kpath='XGX', high_symm_points=high_symm_points, n=50, M=M, ) ``` # Examples ## Band Structures ### Plain Band Structure ```python from vaspvis import standard standard.band_plain( folder=band_folder ) ``` <img src="./img/band_plain.png" width="600" height="450"> ### s, p, d Projected Band Structure ```python from vaspvis import standard standard.band_spd( folder=band_folder ) ``` <img src="./img/band_spd.png" width="650" height="450"> ### Orbital Projected Band Structure ```python from vaspvis import standard standard.band_orbitals( folder=band_folder, orbitals=[0, 1, 2, 3, 4, 5, 6, 7, 8], ) ``` <img src="./img/band_orbital.png" width="650" height="450"> ### Atom Projected Band Structure ```python from vaspvis import standard standard.band_atoms( folder=band_folder, atoms=[0, 1], ) ``` <img src="./img/band_atoms.png" width="650" height="450"> ### Atom-Orbtial Projected Band Structure ```python from vaspvis import standard standard.band_atom_orbitals( folder=band_folder, atom_orbital_dict = {0:[1,3], 1:[1,7]} ) ``` <img src="./img/band_atom_orbitals.png" width="650" height="450"> ### Atom s, p, d Projected Band Structure ```python from vaspvis import standard standard.band_atom_spd( folder=band_folder, atom_spd_dict={0:'spd'}, ) ``` <img src="./img/band_atom_spd.png" width="650" height="450"> ### Element Projected Band Structure ```python from vaspvis import standard standard.band_elements( folder=band_folder, elements=['In', 'As'], ) ``` <img src="./img/band_elements.png" width="650" height="450"> ### Element s, p, d Projected Band Structure ```python from vaspvis import standard standard.band_element_spd( folder=band_folder, element_spd_dict={'As':'spd'}, ) ``` <img src="./img/band_element_spd.png" width="650" height="450"> ### Element Orbital Projected Band Structure ```python from vaspvis import standard standard.band_element_orbitals( folder=band_folder, element_orbital_dict={'As':[2], 'In':[3]}, ) ``` <img src="./img/band_element_orbital.png" width="650" height="450"> ## Density of Statess ### Plain Density of States ```python from vaspvis import standard standard.dos_plain( folder=dos_folder, energyaxis='x', ) ``` <img src="./img/dos_plain.png" width="600" height="450"> ### s, p, d Projected Density of States ```python from vaspvis import standard standard.dos_spd( folder=dos_folder, energyaxis='x', ) ``` <img src="./img/dos_spd.png" width="650" height="450"> ### Orbital Projected Density of States ```python from vaspvis import standard standard.dos_orbitals( folder=dos_folder, orbitals=[0, 1, 2, 3, 4, 5, 6, 7, 8], energyaxis='x', ) ``` <img src="./img/dos_orbitals.png" width="650" height="450"> ### Atom Projected Density of States ```python from vaspvis import standard standard.dos_atoms( folder=dos_folder, atoms=[0, 1], energyaxis='x', ) ``` <img src="./img/dos_atoms.png" width="650" height="450"> ### Atom-Orbtial Projected Density of States ```python from vaspvis import standard standard.dos_atom_orbital( folder=dos_folder, atom_orbital_pairs=[[0,1], [0,3], [1, 1], [1,7]], energyaxis='x', ) ``` <img src="./img/dos_atom_orbitals.png" width="650" height="450"> ### Atom s, p, d Projected Density of States ```python from vaspvis import standard standard.dos_atom_orbital( folder=dos_folder, atom_orbital_pairs=[[0,1], [0,3], [1, 1], [1,7]], energyaxis='x', ) ``` <img src="./img/dos_atom_spd.png" width="650" height="450"> ### Element Projected Density of States ```python f