Dan Lu Senior Staff Scientist Contact lud1@ornl.gov All Publications Advancing earth system model calibration: a diffusion-based method Improving Streamflow predictions with vision transformers Improving the estimation of atmospheric water vapor pressure using interpretable long short-term memory networks Advancing spatiotemporal forecasts of CO 2 plume migration using deep learning networks with transfer learning and interpretation analysis Advancing subseasonal reservoir inflow forecasts using an explainable machine learning method... Explainable machine learning model for multi-step forecasting of reservoir inflow with uncertainty quantification Accelerating Scientific Simulations with Bi-Fidelity Weighted Transfer Learning Multi-module-based CVAE to predict HVCM faults in the SNS accelerator... Knowledge-Informed Uncertainty-Aware Machine Learning for Time Series Forecasting of Dynamical Engineered Systems Uncertainty quantification of the convolutional neural networks on permeability estimation from micro-CT scanned sandstone and carbonate rock images Uncertainty Quantification of Capacitor Switching Transient Location using Machine Learning Editorial: Data-driven machine learning for advancing hydrological and hydraulic predictability... Uncertainty quantification of machine learning models to improve streamflow prediction under changing climate and environmental conditions Machine-learning-assisted automation of single-crystal neutron diffraction Improving E3SM Land Model Photosynthesis Parameterization via Satellite SIF, Machine Learning, and Surrogate Modeling Stream Temperature Prediction in a Shifting Environment: Explaining the Influence of Deep Learning Architecture... Evaluation of distributed process-based hydrologic model performance using only a priori information to define model inputs... Influence of fatigue precracking and specimen size on Master Curve fracture toughness measurements of EUROFER97 and F82H steels Investigation of hydrometeorological influences on reservoir releases using explainable machine learning methods A deep learning-based direct forecasting of CO2 plume migration... A Spatiotemporal-Aware Weighting Scheme for Improving Climate Model Ensemble Predictions Machine Learning Assisted Reservoir Operation Model for Long-Term Water Management Simulation... Identifying Hydrometeorological Factors Influencing Reservoir Releases Using Machine Learning Methods... Improving net ecosystem CO2 flux prediction using memory-based interpretable machine learning Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders... Pagination Current page 1 Page 2 Page 3 Next page ›› Last page Last » Key Links Curriculum Vitae Google Scholar ORCID GitHub Dan Lu's Website Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Advanced Computing Methods for Physical Sciences Section Computational Earth Sciences Group