Diamond – Step 1: Data Preparation
Generate displaced supercell configurations, run QE DFT, transform to AO basis, and verify band structure reconstruction.
Prerequisites
- QE pseudopotential: Place
C.upfin../pseudos/ - Siesta pseudopotential: Place
C.psml(or appropriate file) in../aobasis/ - QE on PATH: Source
~/scripts/tools/qe.shor set manually - Conda environments:
hpro(HPRO),deeph(DeepH)
Workflow
# 1. Create input files and directory structure
python prepare.py
# 2. Run QE calculations (SCF + pw2bgw + bands)
python run.py
# 3. Transform Hamiltonians to AO basis via HPRO
python reconstruct.py
# 4. Compare QE and reconstructed band structures
python compare_bands.py
Output
data/
disp-01/ .. disp-50/ displaced 2×2×2 supercell SCF + reconstruction
bands/
uc/ pristine unit cell bands
sc/ pristine 2×2×2 supercell bands
kpath.json k-path used for band calculations
band_compare_uc.png QE vs HPRO comparison for unit cell
band_compare_sc.png QE vs HPRO comparison for supercell
Parameters (params.json)
| Key | Description |
|---|---|
supercell_size |
Supercell dimensions (default 2×2×2) |
n_displacements |
Number of displaced configs (default 50) |
displacement_groups |
Amplitude groups in Angstrom |
reconstruction.method |
"original" (real-space H(R)) |
reconstruction.nbnd |
Bands to include in reconstruction comparison |
cluster.run_sh |
Path to cluster submission script (null = local) |