The identifies crystalline structures based on "Weinberg vectors"—unique integer strings that describe the connectivity of faces in a particle's Voronoi cell. Key Features :
: Applied sequentially. For VoroTop, it is recommended to place it at the beginning of the pipeline before any particles are deleted, as it requires the full set of neighbors for accurate analysis. ovito top
: Use File → Load File to import simulation trajectories (e.g., .lammpstrj , .pdb , .xyz ). OVITO typically auto-detects the file format. 2. The VoroTop Modifier : Use File → Load File to import
: It requires a filter file that maps Weinberg vectors to structure types (e.g., FCC, BCC, HCP). These can be downloaded from the VoroTop project site . How to Use : The VoroTop Modifier : It requires a filter
(Open Visualization Tool) – a software package for visualizing and analyzing atomic simulations (e.g., molecular dynamics).
OVITO relies heavily on for many sequential modifiers (e.g., Compute Property , Color Coding ). However, the renderer and certain high-end modifiers (like Voronoi ) utilize multi-threading.
. Reviews and user feedback generally highlight its efficiency in handling large datasets and its powerful, non-destructive data pipeline. Top Features & Pro vs. Basic OVITO is offered in two versions: OVITO Basic (free/open-source) and (paid/proprietary). Data Pipeline: