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Daniele Pizzichini

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#artificial intelligence Preprint Oct 2026

SFE-O: An Ontology for Knowledge-Grounded AI in Supercritical CO$_2$ Biomass Extraction and Fractionation

The resulting knowledge model provides a machine-actionable foundation for querying, consistency checking, and mechanistic explanation of SFE processes, and establishes a knowledge layer that could support future ontology-grounded AI reasoning, a direction this paper motivates but does not evaluate.

Thomas Pallet, Mario Lezoche, Gia Leone et al. · 0 citations

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