Dr. Carande is currently developing a predictive algorithm for critical properties and acentric factors of pure compounds. Her postdoctoral work also includes the production of an automated, substructure-based procedure for the optimization of force-field parameters used in Monte Carlo molecular simulations.
keywords
computational physics, high performance computing, molecular modeling, quantum chemistry, Monte Carlo simulations, quantitative structural properties relationships, machine learning
