Topological framework for local structure analysis in condensed matter
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Summary
A unified mathematical framework, based on the topology of the Voronoi cell of a particle, for classifying local structure in ordered and disordered systems that is powerful and practical is introduced.
- Type
- article
- Published
- 2015-08-24
- Cited by
- 133
- References
- 42
- Access
- Open access
- OpenAlex
- https://openalex.org/W1946498797
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:21279189
Keywords
Topology (electrical circuits), Ideal (ethics), Complex system, Set (abstract data type), Topological defect
References
- A Geometrical Approach to the Structure Of Liquids
- Available states and available space: static properties that predict self-diffusivity of confined fluids
- Nouvelles applications des paramètres continus à la théorie des formes quadratiques. Deuxième mémoire. Recherches sur les parallélloèdres primitifs.
- VORO++: a three-dimensional voronoi cell library in C++.
- Theory of Dislocations
- On Fiber Diameters of Continuous Maps
- Formation of a crystal nucleus from liquid
- Dislocation nucleation and defect structure during surface indentation
- Statistics of Voronoi cells of slightly perturbed face-centered cubic and hexagonal close-packed lattices
- Crystal-melt interfacial free energies in hcp metals: A molecular dynamics study of Mg
- Ring-diffusion mediated homogeneous melting in the superheating regime
- Liquid Structure and Self‐Diffusion
- Fast parallel algorithms for short-range molecular dynamics
- Complete topology of cells, grains, and bubbles in three-dimensional microstructures
- A more accurate two-dimensional grain growth algorithm
- Story of stacking fault tetrahedra
- Interaction potentials and their effect on crystal nucleation and symmetry
- Interatomic potentials for monoatomic metals from experimental data and ab initio calculations
- Multiscale modelling of defect kinetics in irradiated iron
- On the Maximum Order of the Automorphism Group of a Planar Triply Connected Graph
Cited by
- Unsupervised machine learning for detection of phase transitions in off-lattice systems. I. Foundations.
- On Fiber Diameters of Continuous Maps
- Robust structural identification via polyhedral template matching
- Effects of grain size and temperature on mechanical response of nanocrystalline copper
- Describing polyhedral tilings and higher dimensional polytopes by sequence of their two-dimensional components
- A three-dimensional polyhedral unit model for grain boundary structure in fcc metals
- Local identification of chemical ordering: Extension, implementation, and application of the common neighbor analysis for binary systems
- VoroTop: Voronoi cell topology visualization and analysis toolkit
- A scalable parallel framework for microstructure analysis of large-scale molecular dynamics simulations data
- Grain-boundary kinetics: A unified approach
- Machine learning determination of atomic dynamics at grain boundaries
- Quantifying Grain Boundary Atomic Structures Using the Smooth Overlap of Atomic Positions
- Short-range ordering in metallic supercooled liquids and glasses
- Quantifying and connecting atomic and crystallographic grain boundary structure using local environment representation and dimensionality reduction techniques
- Continuously variable atomic structure in monatomic metallic glasses through active icosahedral dynamics below glass transition temperature
- Topological Characterization of Rigid-Nonrigid Transition across the Frenkel Line.
- Topological generalization of the rigid-nonrigid transition in soft-sphere and hard-sphere fluids.
- Micro-mechanism of the effect of grain size and temperature on the mechanical properties of polycrystalline TiAl
- Point-Pattern Matching Technique for Local Structural Analysis in Condensed Matter
- The transition from order to disorder in Voronoi Diagrams with applications
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