Wes H Brewer Senior Research Scientist Contact BREWERWH@ORNL.GOV All Publications A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates... Development of a Machine-Learned Cruise Guide Indicator for Rotorcraft US Department of Energy, Office of Science, High-Performance Computing Facility 2024 Operational Assessment Oak Ridge Leadership Computing Facility Machine-learned closure of URANS for stably stratified turbulence: connecting physical timescales & data hyperparameters of d... Navigating Exascale Operational Data Analytics: From Inundation to Insight Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows... Dynamic Modeling of Power Conversion Stages for an Exascale Supercomputer Thermo-Fluid Modeling Framework for Supercomputer Digital Twins: Part 1, Demonstration at Exascale Visualizing an Exascale Data Center Digital Twin: Considerations, Challenges and Opportunities... Digital Twins for Data Centers Thermo-Fluid Modeling Framework for Supercomputing Digital Twins: Part 2, Automated Cooling Models... Oak Ridge National Laboratory's Strategic Research and Development Insights for Digital Twins Towards the Development of an Exascale Network Digital Twin... Predicting Timescales in Dynamical Systems With Explainable Machine Learning Models Key Links Google Scholar ORCID LinkedIn Organizations Computing and Computational Sciences Directorate National Center for Computational Sciences Advanced Technologies Section Workflows and Ecosystem Services Group
