Composition-property extrapolation for compositionally complex solid solutions based on word embeddings
Word embeddings based on scientific literature, combined with data from compositionally less complex systems, enable performance extrapolation and discovery for compositionally complex materials.
Authors
- Markus Stricker (ORCID: https://orcid.org/0000-0002-8933-0238)
- Wolfgang W. Schuhmann (ORCID: https://orcid.org/0000-0003-2916-5223)
- Lei Zhang (ORCID: https://orcid.org/0000-0003-4216-4452)
- Lars Banko (ORCID: https://orcid.org/0000-0001-9410-6735)
- Alfred Ludwig (ORCID: https://orcid.org/0000-0003-2802-6774)
Institutions
- Ruhr University Bochum (DE)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5dd00169b
- Citations
- 1
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.52
Funders
- Deutsche Forschungsgemeinschaft
- China Scholarship Council