Guannan Zhang Senior Staff Scientist Contact ZHANGG@ORNL.GOV All Publications An end-to-end deep learning method for solving nonlocal Allen–Cahn and Cahn–Hilliard phase-field models... A novel conditional generative model for efficient ensemble forecasts of state variables in large-scale geological carbon storage Integrated edge-to-exascale workflow for real-time steering in neutron scattering experiments A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics A Pseudoreversible Normalizing Flow for Stochastic Dynamical Systems with Various Initial Distributions A Diffusion-Based Uncertainty Quantification Method to Advance E3SM Land Model Calibration 91°µÍø's Strategic Research and Development Insights for Digital Twins Advancing earth system model calibration: a diffusion-based method 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 Quantifying Atomically Dispersed Catalysts Using Deep Learning Assisted Microscopy CrysFieldExplorer: rapid optimization of the crystal field Hamiltonian Atomic Resolution Cryogenic 4D-STEM Imaging via Robust Distortion Correction 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 Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack 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... Pagination Current page 1 Page 2 Page 3 Next page ›â¶Äº Last page Last » Key Links Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Mathematics in Computation Section Data Analysis and Machine Learning Group
