Rafael Gomez-Bombarelli

Rafael Gomez-Bombarelli, an MIT assistant professor in material science, dives into the fusion of machine learning and atomistic simulations for energy materials. He discusses virtual screening and inverse design techniques, sharing insights on their unique challenges. The conversation highlights generative models and the crucial role of training data in simulations. Rafael also explains how simulation results inform modeling efforts and the significance of hyperparameter optimization in making predictive models more effective for material design.