A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities Publications International Conference on Computational Science ICCS 2020: Computational Science – ICCS 2020
Machine learning for nonintrusive model order reduction of the parametric inviscid transonic flow past an airfoil Publications Physics of Fluids
What matters the most? Understanding individual tornado preparedness using machine learning Publications Natural Hazards
Neural network representability of fully ionized plasma fluid model closures Publications Physics of Plasma
Probabilistic neural networks for fluid flow surrogate modeling and data recovery Publications Physical Review Fluids
Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation Publications Physica D: Nonlinear Phenomena
Automated theoretical chemical kinetics: Predicting the kinetics for the initial stages of pyrolysis Publications Proceedings of the Combustion Institute
3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning Publications Journal of Chemical Information and Modeling
