A collection of python scripts used to generate CML from csv (CSV_to_CML.py), apply machine learning (Gradient Boosting using decision trees, prediction_viscosity.py), model based on eq 6 in the associated publication, and to plot the generated data (plot*.py).
Institutions: University of Stuttgarthttps://orcid.org/0000-0001-9119-1778
Well rounded biologist/biotechnologist/biochemist/enzymologist/bioinformatician/computational biologist.
This is a collection of deep eutectic solvent (DES) experimental and simulation data that is stored in CML format and analysed using gradient boosting decision trees.
Snapshots: No snapshots
This is a collection of data that have been used to analyse data on deep eutectic solvent mixtures of choline chloride:glycerol:water.