Texas Tech University

Computational Modeling and Data Science

Chemical engineers use computational tools and data science to model and predict molecular properties and material behavior, as well as to model, design, and control manufacturing processes. The modeling and simulation techniques developed at Texas Tech allow for analysis of systems ranging from the molecular scale to the industrial scale. Expertise at Texas Tech focuses on molecular dynamic simulations of polymers and biomolecules, nanomaterial rheology, nanoscale strengthening of polymer nanocomposites, industrial process simulation, process chemometrics, mass transfer and fluid mechanics modeling in aqueous and biological systems, and thermodynamic models of mixtures, including electrolyte solutions.

Faculty performing research in computational modeling and data science:

Chemical Engineering