The structural corpus, on the record.

Targeted property calculations across the materials corpus.

Vendor instrument data adapters and curves.

Voltammetry, impedance, and electrochemical characterization.

Activation energies, reaction energetics, and rates.

The plumbing that keeps the corpus honest and running.

Phase diagrams, stability, and structure prediction.

Campaign orchestration from generative candidates to results.

Electrode and electrolyte property prediction for cells.

Machine-learned potentials and graph models for property prediction.

Surface energies, adsorption, and catalyst screening.

Density-functional workflows and electronic-structure work.

Synthesis planning and process-scale modeling.