Data Models

All output data is represented as Pydantic models. You can serialise any model to JSON with .model_dump() and parse from a dict with .model_validate(data).

Core synthesis ontology

`GeneralSynthesisOntology`

Bases: BaseModel

Comprehensive synthesis ontology for structured synthesis procedures.

`ProcessStep`

Bases: BaseModel

`Material`

Bases: BaseModel

`Equipment`

Bases: BaseModel

`Conditions`

Bases: BaseModel

Paper models

`Paper`

Bases: BaseModel

`PaperWithSynthesisOntologies`

Bases: Paper

`SynthesisEntry`

Bases: BaseModel

Performance / plot models

`MaterialPerformanceData`

Bases: BaseModel

All performance data for a single material, aggregated across plots.

`MaterialPlotEntry`

Bases: BaseModel

One plot series linked to a material, with its coordinate data.

`PlotMaterialMapping`

Bases: BaseModel

All series-to-material mappings for a single plot.

`SeriesMapping`

Bases: BaseModel

A single mapping from a plot series name to a material name.

`LinkingStats`

Bases: BaseModel

Statistics about plot linking for summary output.