David Donnelly, an international compliance analyst at PNNL, recently served on a team of experts that completed the International Atomic Energy Agency’s first International Physical Protection Advisory Service mission in Kenya.

From developing new energy storage materials to revealing patterns of Earth’s complex systems, studies led by PNNL researchers are recognized for their innovation and influence.

PNNL brings its expertise to the space domain by joining an organization that facilitates collaboration across the global space industry.

A breakthrough at PNNL could free friction stir from current constraints—and open the door for increased use of the advanced manufacturing technique on commercial assembly lines.

The ability of a storm-resolving weather model to predict the growth of storms over central Argentina was evaluated with data from the Clouds, Aerosols, and Complex Terrain Interactions (CACTI) field campaign in central Argentina.

Researchers have developed the first coastal transport model for microplastics to understand how particles move in waterways and coastal currents.

Researchers from PNNL and Parallel Works, Inc., applied machine learning methods to predict how much oxygen and nutrients are used by microorganisms in river sediments.

Lakes are important sentinels of climate change and contribute significantly to the emissions of the second most important greenhouse gas—methane.

The rate of conversion of cloud droplets to precipitation, known as the autoconversion rate, remains a major source of uncertainty in characterizing aerosol’s cloud lifetime effects and precipitation in global and regional models.

To assess the impact of observation period and gauge location, model parameters were learned on scenarios using different chunks of streamflow observations.

PNNL's E-COMP initiative is helping unleash American energy innovation with advanced theories, models, and software tools to better operate power systems that rely heavily on high-speed power electronic control.

This study presents an automated method to detect and classify open- and closed-cell mesoscale cellular convection (MCC) using long-term ground-based radar observations.

By combining computational modeling with experimental research, scientists identified a promising composition that reduces the need for a critical material in an alloy that can withstand extreme environments.

PNNL researchers have developed a new, physics-informed machine learning model that accurately predicts how heat accumulates and dissipates during friction stir processing.

Senior Advisor Isabella van Rooyen shares her journey from child to internationally recognized scientist in nuclear materials and manufacturing.

Adom Cooper was selected for the inaugural cohort of the Black Professionals in International Affairs at the Colin Powell Leadership Institute.

Madalina Man, an international compliance analyst, recently lent her legal expertise to an International Atomic Energy Agency International Physical Protection Advisory Service Mission in Zambia.

Chanel Chauvet-Maldonado, nonproliferation policy and law analyst, completed the Organization for Economic Co-operation and Development Nuclear Energy Agency International School of Nuclear Law program.

Kathleen Doty recently shared legal insight on the challenge of space debris in her presentation “Regulating Space Junk” as part of the University of Georgia School of Law’s Spring 2023 Space Law Speaker Series.

PNNL is the newest member of the CONsortium on Nuclear sECurity Technologies (CONNECT).