scientific-schematics

To generate publication-quality scientific diagrams, provide a natural language description of your visual. The system creates neural network architectures or biological pathways and applies iterative refinement to meet document-type quality thresholds.

Journal scientific visualization enforces an 8.5 quality threshold, while conference papers require 8.0, posters 7.0, presentations 6.5, and default outputs 7.5. The system performs up to two refinement iterations to meet these standards.

Yes, you can generate AI diagrams for neural network architectures, biological pathways, system architectures, and experimental workflows. Outputs include versioned images and a detailed review log with scores for reproducibility.

The diagram-generation process provides an audit trail by outputting a detailed per-iteration log. This log includes quality scores and critiques from the review process, ensuring full reproducibility of your publication-ready figures.

The limitation of automatic quality review is that it performs a maximum of two refinement iterations. It stops early when document-type quality thresholds are met, meaning complex diagrams may not reach higher standards if iterations are exhausted.