EMMO Domain Ontology for Photovoltaics (Photovoltaics)

The EMMO Domain Ontology for Photovoltaics is a specialized vocabulary built upon the Elementary Multiperspective Material Ontology (EMMO) framework for comprehensive semantic description of perovskite solar cells and photovoltaic systems. It provides structured vocabulary for describing photovoltaic device components including perovskite absorber layers, transport layers, electrodes, and contact materials, along with their properties and functions. The ontology captures essential photovoltaic device concepts such as optical properties (bandgap, absorption coefficients), electrical properties (carrier mobility, recombination), and performance metrics (efficiency, fill factor, open-circuit voltage). Photovoltaics ontology enables standardized annotation of experimental fabrication procedures, characterization techniques, and computational modeling of perovskite solar cells. The ontology facilitates knowledge integration in photovoltaics research by providing EMMO-compliant semantic representations compatible with broader materials science knowledge bases.

Example Usage: Annotate a perovskite solar cell research study with Photovoltaics terms describing device configuration (n-i-p or p-i-n), perovskite composition (CsPbI3, MAPbI3), transport materials (TiO2, spiro-OMeTAD), performance parameters (PCE, Voc, Jsc), and fabrication methods (spin-coating, vapor deposition).

Metrics & Statistics

Graph Statistics

Total Nodes

131

Total Edges

281

Root Nodes

12

Leaf Nodes

48

Knowledge Coverage Statistics

Classes

47

Individuals

0

Properties

3

Hierarchical Metrics

Maximum Depth

1

Minimum Depth

0

Average Depth

0.40

Depth Variance

0.24

Breadth Metrics

Maximum Breadth

12

Minimum Breadth

8

Average Breadth

10.00

Breadth Variance

4.00

LLMs4OL Dataset Statistics

Term Types

0

Taxonomic Relations

46

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 Photovoltaics

ontology = Photovoltaics()
ontology.load("path/to/Photovoltaics-ontology.ttl")

# 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