The task of selecting a solvent or solvent mixture with desirable combination of physical
properties to meet the needs of specific applications, has largely been tackled using a
combination of heuristics and costly experimental studies. This material selection problem is
here formulated as the combinatorial molecular design problem of choosing a set of
structural groups making up a target molecule with the desired properties as predicted by
available group contribution techniques. A novel mixed-integer nonlinear programming …