PI: Gerald Wang
Co-PI(s): Ryan Sullivan
University: Carnegie Mellon University
Industry Partner(s): Sudoc
Through laboratory experiments and computational modeling, this project seeks to develop new tools to optimize a class of environmentally friendly homogeneous (dissolved) TAML oxidation catalysts, which are especially effective for treating wastewater and removing mold. These catalysts can also be used to remove mold following floods and natural disasters. Of particular interest is developing and validating new computational and statistical approaches for describing fluid transport in the vicinity of catalyst interfaces with surfaces at small length scales. Such fluid flows are difficult to model accurately using traditional simulation tools, which slows the process of innovation. This new understanding will inform the design of, and chemical/thermodynamic conditions for optimal use of, new catalysts by Sudoc such that their oxidation technology can enter target markets for pulp & paper bleaching and textile wastewater recycling. This work unites chemistry and computational science expertise shared between CMU and Sudoc, a multiple-award-winning startup company based in Pittsburgh, PA.