Philipp Eiden
BASF (United States)(US)BASF (Germany)(DE)Robert Bosch (Germany)(DE)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Machine Learning in Materials Science, Various Chemistry Research Topics, Corrosion Behavior and Inhibition, Hydrogen embrittlement and corrosion behaviors in metals
Most-Cited Works
- → Analyzing Learned Molecular Representations for Property Prediction(2019)1,673 cited
- → Correction to Analyzing Learned Molecular Representations for Property Prediction(2019)36 cited
- → In-depth insights of inhibitory behaviour of 2-amino-4-methylthiazole towards galvanised steel in neutral NaCl solution(2022)33 cited
- → MolPipeline: A Python Package for Processing Molecules with RDKit in Scikit-learn(2024)32 cited
- → Are Learned Molecular Representations Ready for Prime Time?(2019)27 cited
- → Design of alkyl-substituted aminothiazoles to optimise corrosion inhibition for galvanised steel: A combined experimental and molecular modelling approach(2023)16 cited
- → ConfSolv: Prediction of Solute Conformer-Free Energies across a Range of Solvents(2023)15 cited
- → Inhibitory behaviour and adsorption stability of benzothiazole derivatives as corrosion inhibitors towards galvanised steel(2023)15 cited