Point Defects Ontology (PODO)¶
PODO is a specialized ontology that formalizes the conceptualization and semantic representation of point defects in crystalline materials, enabling precise description and classification of atomic-scale defects. It provides structured vocabulary for describing different point defect types including vacancies, interstitials, substitutional defects, and antisite defects, along with their properties and formation mechanisms. PODO captures essential characteristics of point defects such as charge state, migration energy, binding interactions with other defects, and effects on material properties. The ontology enables systematic annotation of experimental observations (X-ray diffraction, electron microscopy) and computational predictions (first-principles calculations) of point defects in various crystal structures. PODO facilitates knowledge integration in materials informatics and computational materials databases by providing standardized semantic representations of point defect phenomena.
Example Usage: Annotate a first-principles DFT study of point defects in semiconductors with PODO terms describing defect type (e.g., oxygen vacancy in TiO2), charge state (+2, neutral, -2), formation energy, charge transition levels, and effects on band structure and electrical properties.
Metrics & Statistics¶
Total Nodes |
153 |
Total Edges |
192 |
Root Nodes |
38 |
Leaf Nodes |
84 |
Classes |
12 |
Individuals |
0 |
Properties |
5 |
Maximum Depth |
2 |
Minimum Depth |
0 |
Average Depth |
0.57 |
Depth Variance |
0.40 |
Maximum Breadth |
38 |
Minimum Breadth |
6 |
Average Breadth |
25.00 |
Breadth Variance |
188.67 |
Term Types |
0 |
Taxonomic Relations |
12 |
Non-taxonomic Relations |
0 |
Average Terms per Type |
0.00 |
Usage Example¶
Use the following code to import this ontology programmatically:
from ontolearner.ontology import PODO
ontology = PODO()
ontology.load("path/to/PODO-ontology.owl")
# Extract datasets
data = ontology.extract()
# Access specific relations
term_types = data.term_typings
taxonomic_relations = data.type_taxonomies
non_taxonomic_relations = data.type_non_taxonomic_relations