Chemical property prediction using spectral-signature Kriging of molecular surface topology

The combinatorial complexity of chemical space makes finding a molecule with desired properties challenging. This is compounded by the fact some properties are difficult to measure and impossible to compute. To surmount these limitations, I am developing a new machine-learning technique called spectral-signature kriging that is fast, robust, and universal.