Materials Intelligence Recipe knowledge pipeline
Live cumulative operating metrics for the Materials Intelligence Recipe and Recipe Language Model knowledge pipeline. The knowledge base is updated incrementally as new candidate records, qualified papers, PDFs/SI, recipe reports, and RecipeQA pairs enter the system.
Literature-to-recipe operating pipeline
These scale bars indicate relative data accumulation across an open-ended operating pipeline. They visualize the current scale of the knowledge system while remaining compatible with continuous growth.
Knowledge assets in Materials Intelligence Recipe
Materials Intelligence Recipe is the structured data layer that turns literature and expert knowledge into reusable assets for search, recommendation, training, and downstream system execution.
Literature scale
Candidate DOIs, titles, abstracts, qualified literature records, and downloaded PDFs/SI form the expandable document base for materials-intelligence knowledge acquisition.
Recipe structuring
Full-text and supplementary materials are converted into structured recipe reports containing formulas, process parameters, performance metrics, and mechanism-aware annotations.
Recipe-QA assets
Structured recipe reports are transformed into RecipeQA pairs that support Recipe Language Model training, evaluation, preference alignment, and scientific interaction.