Ackland-Jones Analysis
Classify FCC, HCP, BCC and ICO crystal structures with adaptive nearest-neighbor bond-angle analysis — no cutoff parameter required.
Ackland-Jones Analysis assigns each atom a structure type (FCC, HCP,
BCC, ICO, or OTHER) from the bond-angle distribution of its nearest
neighbors (Ackland & Jones, PRB 2006). The neighbor shell is determined
adaptively from the local mean squared distance, so classification is fully
parameter-free.
Parameters
This plugin takes no parameters — structure classification is adaptive and parameter-free. Just point it at a trajectory.
Output
The plugin writes two parquet files per frame.
{outputBase}_atoms.parquet
Per-atom data in AtomisticExporter format, consumed by the VOLT viewer for 3D
rendering. Atoms are grouped into buckets keyed by structure name (FCC,
HCP, BCC, ICO, OTHER).
interface Atom {
id: int;
pos: [float, float, float];
structure_id: int;
structure_name: string; // "FCC" | "HCP" | "BCC" | "ICO" | "OTHER"
cluster_id: int;
structure_type: int; // 0 OTHER | 1 FCC | 2 HCP | 3 BCC | 4 ICO
}
interface AtomsOutput {
main_listing: {
total_atoms: int;
structure_count: int;
};
sub_listings: {
structures: Array<{
structure_id: int;
structure_name: string;
atom_count: int;
}>;
};
export: {
AtomisticExporter: {
[bucketName: string]: Atom[];
};
};
}Surfaced in VOLT as the Ackland-Jones Structure exposure and exported as a
.glb scene.
{outputBase}_ackland_jones.parquet
Per-frame summary of the structure-type counts (listing-only — no per-atom sub-listing).
interface AcklandJonesSummary {
main_listing: {
total_atoms: int;
OTHER: int;
FCC: int;
HCP: int;
BCC: int;
ICO: int;
};
}See Also
- Adaptive Common Neighbor Analysis — CNA-based structure classifier that also emits DXA cluster-graph artifacts
- Polyhedral Template Matching — robust structure classifier that additionally handles simple-cubic and icosahedral environments
- Centrosymmetry Parameter — continuous per-atom disorder measure for the same defect-identification workflows