OCTOBER 6, 2022 Article Building Partnerships to Transform STEM Innovation Launching a premier partnership, PNNL and the University of Texas El Paso (UTEP) signed a memorandum of agreement on UTEP’s campus on October 6. ( Read More )
OCTOBER 3, 2022 Article SEA-CROGS Selected for DOE Support SEA-CROGS is one of four Mathematical Multifaceted Integrated Capability Centers selected for support by the Department of Energy. ( Read More )
SEPTEMBER 22, 2022 Article Understanding the Ways of Water New research makes molecular-level calculations of water faster and easier. ( Read More )
SEPTEMBER 1, 2022 Article Nuclear Forensics Exercise Taps PNNL Experts PNNL experts in nuclear forensics helped lead laboratories around the world through a rigorous test involving nuclear materials. ( Read More )
AUGUST 11, 2022 Article Accelerating Machine Learning Through Collaboration PNNL researchers teamed up with SambaNova to enhance artificial intelligence for scientific computing. ( Read More )
JULY 12, 2022 Research Highlight A Faster, Better Approach to Describe Many-Body Systems PNNL researchers developed a hybrid quantum-classical approach for coupled-cluster Green’s function theory that maintains accuracy while cutting computational costs. ( Read More )
JUNE 30, 2022 Research Highlight Using AI to Explore Possibilities in Advanced Manufacturing PNNL researchers created a model that helps materials scientists not only predict what is, but what could be. ( Read More )
JUNE 28, 2022 Research Highlight Machine Reasoning for More Intelligent Microscopy PNNL researchers design an artificial intelligence-guided electron microscope in a Laboratory Directed Research and Development study. ( Read More )
APRIL 4, 2022 Research Highlight Scalable Simulation of Quantum Circuits Quantum simulators help navigate noise on GPU-based HPC systems. ( Read More )
JANUARY 4, 2022 Research Highlight A 15+-Year-Old Problem Finally Resolved Researchers achieved the complete assignment of the infrared spectrum of a hydronium-water “magic number” cluster reported in Science in 2004. ( Read More )
DECEMBER 21, 2021 Research Highlight 3D-Scaffold, a Deep Learning Approach to Identify Novel Molecules for Therapeutics A multi-institutional team has developed a deep learning framework to identify novel molecules as drug candidates. ( Read More )
OCTOBER 7, 2021 Research Highlight Better Simulations for Multiscale Models PNNL researchers developed a way to produce accurate simulations of complex physical systems using renormalized approximations across multiple scales ( Read More )
SEPTEMBER 14, 2021 Research Highlight Increasing Tropical Cyclone Intensity Forecast Accuracy with a Deep-Learning-Based Model Scientists created a benchmark dataset and explored new algorithms to better predict changes in the intensity of North Atlantic tropical cyclones. ( Read More )
AUGUST 19, 2021 Research Highlight Revealing the Genes that Respond to Viral Infections Hypergraphs can more faithfully identify important genes in complex immune responses. ( Read More )
JULY 29, 2021 Research Highlight Software Searches, Sorts, and Visualizes Connections Between COVID Publications The web-based tool, called PLATIPUS, is publicly available and interacts with publications available in the CovidScholar database. ( Read More )
JULY 2, 2021 Research Highlight Using Explainable AI to Understand Key Wildfire Controls Seeking a deeper understanding of when, where, and why large wildfires occur using explainable artificial intelligence. ( Read More )
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 )
