# Nanocrystalline diamond (sp³)
C, 40 × 40 × 40 Å, regime preset `"sp3_nc"` (100% sp³ regime). All grains sampled from diamond (Fd-3m, *a* = 3.567 Å). Every C atom develops 4 tetrahedral bonds at 109.5°. Final-frame polyhedra render the SiC₄ analogue (CC₄ tetrahedra) of the sp³ network.
## Orientation-refinement movie
Each frame is one accepted grain rotation; the schedule walks
30° → 15° → 5° → 2° and accepts the best of 50 trials per (amplitude,
grain). Discrete steps, no FIRE between accepts.
## FIRE quench movie
Continuous atomic relaxation after rotation refinement. sp³
tetrahedra are detected at the final state and rendered through
the playback (locked-index polyhedra following the trajectory).
## Cost trace: refinement + FIRE
Total / bond / angle / repulsion components. Left of the dashed
line: rotation refinement (one point per accepted rotation). Right:
FIRE convergence (downsampled).

## g3 distribution: initial · after refine · after FIRE
Three rooted three-body distributions captured at three points along
the pipeline so the algorithmic effect of each stage is visible.
**Initial** (post-build, post-retile): grain interiors are perfect
crystal slabs at random orientations.
**After refinement** (pre-FIRE): SO(3) coordinate descent has
walked each grain into a better-aligned basin against its
neighbours. Differences from the initial g3 are concentrated at
grain boundaries.
**After FIRE** (final): all atoms relaxed. A small post-FIRE
thermal jitter (σ scaled by regime grain density) is applied
before measurement so the peaks have realistic finite-T width
rather than the perfectly sharp 0K-FIRE-quench result.
## Code
```python
from ase.io import read
import tricor as tc
atoms_graphite = read("docs/structures/C_graphite.cif")
atoms_diamond = read("docs/structures/C_diamond.cif")
shell_sp2 = tc.CoordinationShellTarget.from_atoms(atoms_graphite, phi_num_bins=90)
shell_sp3 = tc.CoordinationShellTarget.from_atoms(atoms_diamond, phi_num_bins=90)
shell_target = tc.CoordinationShellTarget.from_targets(
{"sp2": shell_sp2, "sp3": shell_sp3}
)
cell = tc.Supercell.from_atoms(
atoms_graphite,
cell_dim_angstroms=(40, 40, 40),
r_max=10, r_step=0.1, phi_num_bins=90,
rng_seed=42,
)
cell.generate(
shell_target,
grain_size=10.0,
grain_sources=[
{"atoms": atoms_graphite, "species_offset": 0, "weight": 0.0},
{"atoms": atoms_diamond, "species_offset": 1, "weight": 1.0},
],
num_steps=120,
bond_weight=2.0, angle_weight=1.0, repulsion_weight=2.0,
hard_core_scale=0.9, nonbond_push_scale=0.8,
displacement_sigma=0.03,
refine_orientations=True,
refine_orientations_kwargs=dict(
amplitudes_deg=(30.0, 15.0, 5.0, 2.0),
trials_per_amplitude_per_grain=50,
max_rounds_per_amplitude=2,
cost_function="pair_distance",
score_cutoff_factor=1.5,
time_budget_sec=180.0,
capture_trajectory=True,
),
capture_trajectory=True,
)
```