SurfPro – a curated database and predictive model of experimental properties of surfactants
SurfPro is a database of 1624 surfactants and their experimental properties. To address missing property values in this database, graph neural network ensembles were trained for multi-property prediction to impute values for all missing properties.
Authors
- Stefan Hödl
- Wilhelm T. S. Huck (ORCID: https://orcid.org/0000-0003-4222-5411)
- William Robinson (ORCID: https://orcid.org/0000-0002-8569-5790)
- Luc Hermans
- Pim Dankloff
- Aigars Piruska
Institutions
- Radboud University Nijmegen (NL)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d4dd00393d
- Citations
- 6
- Primary Topic
- Material Properties and Processing
- Type
- article
- Field-Weighted Citation Impact
- 5.18