JANUARY 9, 2025 Article Cloud Computing for Science Highlights Fusion XII Conference PNNL’s Center for Cloud Computing is addressing challenges in data management and hybrid cloud solutions with industry and academic partnerships. ( Read More )
JANUARY 6, 2025 Article PNNL Unveils Most Impactful Wind Energy Accomplishments for 2024 PNNL's accomplishments in FY 2024 help address the remaining challenges the wind industry faces. ( Read More )
SEPTEMBER 18, 2024 Article A Unified Mathematical Theory for Barren Plateaus In a recent publication in Nature Communications, a team of researchers presents a mathematical theory to address the challenge of barren plateaus in quantum machine learning. ( Read More )
JANUARY 16, 2024 Research Highlight LipidOz: New Software Enables Identification of Lipid Double Bond Locations A streamlined informatics workflow that automatically processes complex data and provides the locations of double bonds in lipids. ( Read More )
DECEMBER 14, 2023 Research Highlight Direct Detection of Phage-Host Interactions in Soils Hi-C metagenomics-informed phage-host infection networks detected in soil pre- and post-drying. ( Read More )
JUNE 6, 2023 Article Facing Scientific Challenges? We’re Counting on It! PNNL researchers outline open problems in different scientific areas in the Journal of Combinatorics. ( Read More )
MAY 24, 2023 Research Highlight Metabolomics Reveals Strategic Wood Degradation by Rot Fungi Metabolomics analysis revealed differences in metabolome profiles for two distinct modes of fungal wood decay. ( Read More )
APRIL 19, 2023 Article New West Coast Study Unveiled for Offshore Wind Transmission DOE announced a new project, led by PNNL and National Renewable Energy Laboratory, to expand wind energy transmission off the nation’s West Coast. ( Read More )
NOVEMBER 2, 2022 Article Bigger, Better Simulations for Quantum Computing HiSVSIM enables large-scale quantum simulations through graph partitioning. ( Read More )
APRIL 26, 2022 Research Highlight New Software Enables Processing of High-Dimensional Mass Spectrometry Data Data from increasingly complex mass spectrometry instruments met with adaptable data analysis solution. ( Read More )