Voronota is a software tool for analyzing three-dimensional structures of biological macromolecules using the Voronoi diagram of atomic balls.
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Updated
Sep 29, 2024 - C++
Voronota is a software tool for analyzing three-dimensional structures of biological macromolecules using the Voronoi diagram of atomic balls.
Voroni tessellation implementations for various metrics with an eye to automosaics
MATLAB and Python code for generating 2D and 3D synthetic polycrystalline microstructures using Laguerre tessellations.
Benchmarking of diffusion models for global field reconstruction from sparse observations
C# implementation of Voronoi diagram/tessellation using Fortune's Algorithm
Computational analysis on geometry-driven hyperuniformity
Microstructure modeling, mesh generation, analysis, and visualization.
Python bindings for JIGSAW: a Delaunay-based unstructured mesh generator.
Centroidal Voronoi Diagram of a mesh's surface using an iterative discrete clustering algorithm on graphs.
Official code of the ICML24 paper: "Winner-takes-all learners are geometry-aware conditional density estimators"
The famous Voronoi Diagram, coded in P5JS
Sample codes for training of dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraints (DSOVT) by Wang et al.
Python-based implementation of the Discrete Voronoi Chain tessellation algorithm, originally introduced by Velic, May and Moresi (2009).
The C++ code generates discrete structures and analyses their evolution process on the elements of a Polytopal Cell Complexes (PCCs) represented algebraically as a set of incidence and adjacency matrices
Python bindings for creating Voronoi & Laguerre diagrams using multithreaded Voro++
JIGSAW is a Delaunay-based unstructured mesh generator for two- and three-dimensional geometries.
Set of scripts to decompose an image in multiple tiles like Quadtrees, Voronoitrees, etc...
This repository contains the LAMMPS and python scripts created from the ground-up, along with the most important data, to conduct a thorough analysis of the Thermal Rectification (TR) in semi-stochastically generated atomistic models of polycrystalline graphene with graded grain size variation - using Molecular Dynamics & mapping of phonon modes.
Constrained Voronoi Diagrams in 2D - not clipped so each cell is a true Voronoi cell.
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