Natural language access point to digital metal–organic polyhedra chemistry in The World Avatar

Natural language access point to digital metal–organic polyhedra chemistry in The World Avatar

Metal–organic polyhedra (MOPs) are discrete, porous metal–organic assemblies known for their wide-ranging applications in separation, drug delivery, and catalysis. As part of The World Avatar (TWA) project—a universal and interoperable knowledge model—we have previously systematized known MOPs and e...

Full description

Saved in:
Bibliographic Details
Main Authors: Simon D. Rihm, Dan N. Tran, Aleksandar Kondinski, Laura Pascazio, Fabio Saluz, Xinhong Deng, Sebastian Mosbach, Jethro Akroyd, Markus Kraft
Format: Article
Language:English
Published: Cambridge University Press 2025-01-01
Series:Data-Centric Engineering
Subjects:
dynamic knowledge graphs
metal–organic polyhedra
question-answering systems
retrieval-augmented generation
Online Access:https://www.cambridge.org/core/product/identifier/S2632673625000127/type/journal_article
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.cambridge.org/core/product/identifier/S2632673625000127/type/journal_article

Similar Items