Ecosystem Metabolism in the Columbia River Contrasts with Small Rivers
Metabolism metrics provide information about biological activity and carbon cycling in rivers. Conditions in large rivers differ from smaller rivers and require adjustments to existing methods.
Creating an Unprecedented Hub for Sustainable Aviation Fuels
An initiative from Washington State University and Snohomish County leaders is aiming to make Paine Field a nexus for testing and improving sustainable aviation fuels made from non-petroleum materials.
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.
Chemical and Computational Advances Enable 2D Proteomics Measurements of Spatial Signals
Spatial proteomics enables researchers to link protein measurements to features in the image of a tissue sample, which are lost using standard approaches.
Meaningful Partnerships to Diversify Science
PNNL’s Climate Network with MSIs and HBCUs aims to bring opportunities to diverse populations.
Beyond Open Science
Beyond Open is all about science that is transferable, equitable, and mutually beneficial.
Researchers Create a New Window on Leading Genetic Cause of Alzheimer’s
Scientists have opened a new view into the workings of the central nervous system, finding a diverse set of important molecules.
Reduced Nitrogen Oxide Emissions from Industrial Vehicles Ahead
A new discovery by PNNL researchers has illuminated a previously unknown key mechanism that could inform the development of new, more effective catalysts for abating NOx emissions from combustion-engines burning diesel or low carbon fuel.
In Appreciation of Postdocs
PNNL is honoring its postdoctoral researchers as part of the fourteenth annual National Postdoc Appreciation Week with seven profiles of postdocs from around the Laboratory.
Microbial Community Simulations Go Big
High fidelity simulations enabled by high-performance computing will allow for unprecedented predictive power of molecular level processes that are not amenable to experimental measurement.