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

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

Business, industry, and government careers were a focus of the PNNL-led Mathematics Research Communities conference.

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

New research simulates power demand, supply, and cost in a hotter, drier climate.

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.

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

Projects range from improving analytical instruments to producing precision prototypes.

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

A new, state-of-the-art training facility in Larnaca, Cyprus provides unique training opportunities for border security officials from partner nations.

PNNL Hydrogen Safety Panel supports a fundamental hydrogen safety credential deployed through the Center for Hydrogen Safety.

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

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

Two PNNL teams have been recognized for their work on safe, secure radioactive material shipping.

PNNL Materials Scientist Leo Fifield recognized for contributions to the field of nuclear instrumentation and control.

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.