The physical property of interest relates to hydrophobicity or the oil-like characteristics of polymers. Our method is inspired by the medicinal chemistry approach to describe drug-like molecules using partition coefficients. These coefficients, which are often referred to as LogP values, can be positive or negative. Positive LogP values indicate oil solubility while negative LogP values suggest water soluble molecules. Since the 1980s, the pharmaceutical industry has spawned many computational methods to calculate LogP.

Our method constructs SMILES strings for a short segment of a polymer. These SMILES strings represent 3D chemical structures using ACSII symbols. Then, we use RDKit to convert the SMILES string to a 3D molecule, optimize the conformation, and calculate the surface area (SA). Afterwards, we calculate LogP. The resulting ratio of LogP/SA has provided predictive capability in a number of collaborative projects. Since 2015, we have published 18 journal articles that use LogP and LogP/SA values.

The physical property of interest relates to hydrophobicity or the oil-like characteristics of polymers. Our method is inspired by the medicinal chemistry approach to describe drug-like molecules using partition coefficients. These coefficients, which are often referred to as LogP values, can be positive or negative. Positive LogP values indicate oil solubility while negative LogP values suggest water soluble molecules. Since the 1980s, the pharmaceutical industry has spawned many computational methods to calculate LogP.

Our method constructs SMILES strings for a short segment of a polymer. These SMILES strings represent 3D chemical structures using ACSII symbols. Then, we use RDKit to convert the SMILES string to a 3D molecule, optimize the conformation, and calculate the surface area (SA). Afterwards, we calculate LogP. The resulting ratio of LogP/SA has provided predictive capability in a number of collaborative projects. Since 2015, we have published 18 journal articles that use LogP and LogP/SA values.