arxiv
PublishedJuly 10, 2026 at 4:00 AM
—neutral
Predicting Scale-Up of Metal-Organic Framework Syntheses with Large Language Models
Publisher summary· verbatim
arXiv:2604.20899v2 Announce Type: replace-cross Abstract: Scalable synthesis remains the gate between MOF discovery and industrial deployment, as scale-up know-how is fragmented across disparate reports. We introduce ScaleMOF, a literature-mined dataset and a positive-unlabeled learning strategy tha
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSvarna: An Open Corpus Workbench for Modern Greek1darxivPLURAL: A Global Dataset for Value Alignment1darxivValidating LLMs in social science: Epistemic threats and emerging norms1darxivHow Do I Know What to Say Next? Barenholtz's Autogenerative Theory as an Enrichment of Harrisean Integrationism1dThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗