Search Results for author:
Found 2 papers, 1 papers with code
Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery
The solvation free energy of organic molecules is a critical parameter in determining emergent properties such as solubility, liquid-phase equilibrium constants, and pKa and redox potentials in an organic redox flow battery.
Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations
Determining the aqueous solubility of molecules is a vital step in many pharmaceutical, environmental, and energy storage applications.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
