Extraction of chemical synthesis information using the World Avatar
This work presents a generalisable process that transforms unstructured synthesis descriptions of metal–organic polyhedra into machine-readable, structured representations, integrating them into The World Avatar, a universal knowledge framework.
Authors
- Jiaru Bai (ORCID: https://orcid.org/0000-0002-1246-1993)
- Aleksandar Kondinski (ORCID: https://orcid.org/0000-0002-0559-0172)
- Sebastian Mosbach (ORCID: https://orcid.org/0000-0001-7018-9433)
- Markus Kraft (ORCID: https://orcid.org/0000-0002-4293-8924)
- Jethro Akroyd (ORCID: https://orcid.org/0000-0002-2143-8656)
- Philip H. Butler (ORCID: https://orcid.org/0000-0001-9878-2140)
- Simon D. Rihm (ORCID: https://orcid.org/0000-0001-8342-7269)
- Fabio Saluz
Institutions
- University of Cambridge (GB)
- ETH Zurich (CH)
- Graz University of Technology (AT)
- The Cambridge Centre for Advanced Research and Education in Singapore (SG)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5dd00183h
- Primary Topic
- Robotics and Automated Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- Cambridge Trust
- Fitzwilliam College, University of Cambridge