TransMED analyzes patient data from similar diseases across multiple sources to understand COVID-19 patient outcome risk factors.

Eight PNNL research papers were recognized by the 2022 Waste Management Symposia as “Papers of Note” and “Superior.” One paper received a Best Oral Paper/Presentation Award.

The size and concentration of ions influences the aggregation behavior of solutions of boehmite.

A novel combination of temperature and four-dimensional geophysical sensors revealed otherwise unseeable hydrologic dynamics below riverbed sediments.

Forms of nitrogen released by nitrogen-fixing bacteria differ across sampling scales and in structured environments.

Dominant and functionally important soil microbes show strong, predictable, and distinctly different associations with continental-scale gradients in climate, vegetation, and soil moisture.

The Washington State Academy of Sciences added six people from PNNL to its 2022 class of inductees.

Soil and its microbial inhabitants from Washington state are heading for the International Space Station today.

A new longer-lasting sodium-ion battery design is much more durable and reliable in lab tests. After 300 charging cycles, it retained 90 percent of its charging capacity.

PNNL’s Rob Howard received the 2022 Fuel Cycle and Waste Management Award from the American Nuclear Society.

The virus that causes COVID-19 takes over the body’s fat-processing system and boosts cellular triglycerides as it causes disease.

A PNNL scientist and an Oregon State University faculty member with a PNNL joint appointment were named recipients.

Soil transplant experiment gives new insights into coastal forest resilience, rising seas, and increasing storms.

The Department of Homeland Security Science and Technology Virtual First Responder Capitol Hill Showcase highlighted PNNL work in fentanyl detection standards and database libraries.

Parallel graph neural networks identify protein-ligand 3-D structural interactions to aid in protein function prediction and drug discovery.

Researchers use machine learning to speed up the analysis of aerosol datasets from mass spectrometry.

A novel ecological measurement uncovered interactions between river corridor organic matter assemblages and microbial communities, highlighting potentially important microbial taxa and molecular formula types.

Performing a network analysis of forces between particles reveals new insight into shear induced thinning and thickening in non-Newtonian fluids.

PNNL scientists have developed a new mass spectrometry method for in-depth analysis of proteins in individual cells.

Researchers from the Environmental Molecular Sciences Laboratory are collecting soil cores as part of the 1000 Soils Research Pilot to develop a database of molecular-level data from belowground ecosystems.