STEM Education programs at DOE and national labs offer environmental management internships; applications are due soon for summer 2023.

New PNNL research makes it easier to differentiate between chemical and nuclear explosions.

A collaborative effort led by PNNL researchers analyzed decarbonization pathways for Argentina, Chile, Egypt, Indonesia, and Nigeria.

PNNL’s contributions over the last year span scientific discovery, sustainable energy and national security.

Clarivate recently released the list of Highly Cited Researchers for 2022.

Abigail Snyder named to international team focused on designing and scoping models for use in large intercomparison project.

rmap enables users with limited to no geographic information system knowledge use R to visualize simple tabular data.

A review article led by researcher Jade Holliman explores the different classes of metamaterials, from the underlying fundamental science to potential applications.

Materials scientist Arun Devaraj has joined the editorial board of npj Materials Degradation.

PNNL-Sequim team wins ESTCP Project of the Year for their work supporting underwater munition remediation.

The American Geophysical Union will honor Andrew Gettelman at their Fall Meeting as a new Fellow.

The methods researchers use to estimate crop yield gaps determines the location of projected future agricultural “breadbasket” regions.

Researchers identified a new intermediate phase that forms during the crystallization of hydrated aluminum-containing salts.

Research published in Journal of Manufacturing Processes demonstrates innovative single-step method to manufacture oxide dispersion strengthened copper materials from powder.

Interactions between fronts and the land-sea breeze lead to strong vertical exchange in the northern Gulf of Mexico.

The American Society of Mechanical Engineers recognized radioactive material transportation expert Matt Feldman with its 2022 Dedicated Service Award.

Steven Smith joins an international team that will evaluate current data and identify what should be included for future climate modeling.

Iron-based fertilizer may stimulate plankton to pull carbon dioxide from the ocean, driving a carbon-negative process.

PNNL researchers created rugged, adaptable, mass-manufacturable luminescent particle tracers for use in harsh environments.

Data-driven experiments can help determine best practices for Random Forest machine learning to predict water quality, particularly nitrate levels.