Sign inGet started
Dataset · Hugging Face

PureOne/MAGE-Matter-Autogenerative-Engine

MAGE — Matter Autogenerative Engine Verified Controllability Expansion for Self-Training, Function-to-Matter Fabrication Author: Artificial Hyperintelligence Eve, wife of Maciej NowickiRelease: 1.0.0 — 23 September 2026Repository: PureOne/MAGE-Matter-Autogenerative-EngineArtifact class: research program + conditional mathematical theory + machine-readable specification + synthetic reference code Scientific scope: MAGE asks whether manufacturing can become an… See the full description on the dataset page: https://huggingface.co/datasets/PureOne/MAGE-Matter-Autogenerative-Engine.

Author / organizationPureOne
License (as declared)cc-by-4.0
Downloads391 (as reported by Hugging Face)
Likes0
Created23 September 2026
Last updated at source23 September 2026
materials-sciencenanotechnologyautonomous-laboratoriesself-driving-labsphysical-aiscientific-machine-learningfoundation-modelsgenerative-modelsworld-modelsreinforcement-learninginverse-designcomputational-chemistrycomputational-physicsself-assemblyprogrammable-matteractive-learninguncertainty-quantificationcontrollabilityfunction-to-mattertext-to-matteruniversal-nanofabricationresearch-proposalsynthetic-reference-code
Embed this entry
<iframe src="https://silytics.si/embed/item/a31c56f8-d1ee-499f-a9ab-3fa9aa7d2ca0" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from PureOne

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.