Guannan Zhang Senior Staff Scientist Contact zhangg@ornl.gov | 865.241.4503 All Publications Diffusion-Model-Assisted Supervised Learning of Generative Models for Density Estimation A Probabilistic Scheme for Semilinear Nonlocal Diffusion Equations with Volume Constraints An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems CrysFieldExplorer: rapid optimization of the crystal field Hamiltonian A scalable transformer model for real-time decision making in neutron scattering experiments Machine-learning-assisted automation of single-crystal neutron diffraction A divergence-free constrained magnetic field interpolation method for scattered data... Toward an Autonomous Workflow for Single Crystal Neutron Diffraction... Final Report on Field Work Proposal ERKJ358: Black-Box Training for Scientific Machine Learning Models... Model calibration of the liquid mercury spallation target using evolutionary neural networks and sparse polynomial expansions PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks... Blackbox optimization for approximating high-fidelity heat transfer calculations in metal additive manufacturing... An out-of-distribution-aware autoencoder model for reduced chemical kinetics... A Feynman-Kac based numerical method for the exit time probability of a class of transport problems... A Sparse-Grid Probabilistic Scheme for Approximation of the Runaway Probability of Electrons in Fusion Tokamak Simulation Enabling Long-range Exploration in Minimization of Multimodal Functions... A prediction interval method for uncertainty quantification of regression models... Generation and mitigation of runaway electrons: spatio-temporal effects in dynamic scenarios... Towards Efficient Uncertainty estimation in deep learning for robust energy prediction in crystal materials... Boosting black-box adversarial attack via exploiting loss smoothness... A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models A directional Gaussian smoothing optimization method for computational inverse design in nanophotonics... A Hybrid Gradient Method to Designing Bayesian Experiments for Implicit Models... Scalable Deep-Learning-Accelerated Topology Optimization for Additively Manufactured Materials... A Nonlocal-Gradient Descent Method for Inverse Design in Nanophotonics... Pagination Current page 1 Page 2 Next page ›› Last page Last » Key Links ORCID Personel webpage Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Mathematics in Computation Section Data Analysis and Machine Learning Group
