RASULEV

The group of Prof. Rasulev is focused on development of Artificial Intelligence (AI)-based predictive models to design novel polymeric materials, nanomaterials and to predict their various properties, including toxicity, solubility, fouling release properties, elasticity, degradation rate, biodegradation, etc. The group applies computational chemistry, machine learning and cheminformatics methods for modeling, data analysis and development of predictive structure-property relationship models to find structural factors responsible for activity of investigated materials. The group also develops web applets that make available developed AI/ML models to public, where scientists can predict various properties for the organic chemicals and polymeric materials of their interest.

Primary location: Fargo United States