MAY 7, 2021 Research Highlight Deep Learning Uses Stream Discharge to Estimate Watershed Subsurface Permeability Researchers used deep learning methods to estimate the subsurface permeability of a watershed from stream discharge measurements. ( Read More )
JANUARY 4, 2021 Research Highlight Using Mathematical Rigor to Increase the Physical Realism of Models Rigorous mathematical methods can help avoid unnecessary simplifications in numerical models of atmospheric clouds. ( Read More )
JANUARY 4, 2021 Research Highlight Careful Mathematical Choices Help More Rapidly Reduce Errors in Simulations More accurate methods provide better results in numerical simulations of atmospheric clouds by avoiding accidental contradictions. ( Read More )
NOVEMBER 16, 2020 Research Highlight Using AI to Detect Defects in Fusion Reactor Materials Researchers developed a new tool that combines artificial intelligence and microscopy data to rapidly test new materials for fusion reactor use. ( Read More )
AUGUST 25, 2020 Research Highlight Secretary of Energy Advisory Board (SEAB) Report Recognizes PNNL Contributions Contributions from researchers across Pacific Northwest National Laboratory (PNNL) were recently recognized in the preliminary findings of a Secretary of Energy Advisory Board (SEAB) report. ( Read More )
FEBRUARY 19, 2020 Research Highlight Creating better models to predict subsurface water flow and transport ( Read More )
