Networks of Materials Based on AFLOW Density of States Similarity

Networks of Materials is a dataset mapping the materials universe using network science concepts. The dataset, authored by Alexander Veremyev of the University of Central Florida, constructs networks from the AFLOW.org materials repository, where nodes represent materials and links indicate high similarity between their Density of States functions. The paper discusses the selection of similarity measures and analyzes the structural properties of these networks.

Use Cases

• Visualizing the materials space based on Density of States similarity mentioned in the description
• Identifying clusters of materials with similar electronic properties for materials discovery
• Analyzing network structure to reveal complex relationships among materials
• Benchmarking network science tools applied to materials science data

Strengths

• Derived from the open-source AFLOW.org materials data repository
• Focuses on a specific similarity measure based on Density of States functions
• Includes analysis of basic structural properties of the constructed networks

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count and dataset size are unknown, which may limit suitability assessment
• Last update date is unknown; freshness unverified

Provenance

Source

AFLOW.org materials data repository

Collection Method

Network construction based on similarity between Density of States functions