SurfPro – a curated database and predictive model of experimental properties of surfactants

2025/01/01 by Stefan Hödl, Luc Hermans, Pim Dankloff +3 · 1 voice · 1 citation
Engineering · #Material Properties and Processing

paper · pdf · doi:10.1039/d4dd00393d

openalex publication_date 2025/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/16

Abstract

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.

Citations

• Ensemble deep learning: A review
• PubChem 2023 update

Cited by

• Machine Learning-Based QSPR Modeling of log CMC Values of Per- and Polyfluoroalkyl Substances (PFASs) and the Identification of Property Cliffs

Discussions

• In our newest featured article, Huck, Robinson et al. share their SurfPro database, a curated database of surface properties with both its compiled and imputed data. Read the open access paper here: d [bsky, 2 points, 0 comments]

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