PNNL research, featured on the cover of two science journals, describes advancements in using Raman spectrometry for Hanford Site nuclear waste remediation.

Scientists are pioneering approaches in the branch of artificial intelligence known as machine learning to design and train computer software programs that guide the development of new manufacturing processes.

Launching a premier partnership, PNNL and the University of Texas El Paso (UTEP) signed a memorandum of agreement on UTEP’s campus on October 6.

In honor of National Intern Day, PNNL and intern Jonathan Mills were named among the Top 100 in the nation by early-career recruiting firm WayUp.

The IAC will advise the Secretary of Commerce on the science and technology needs of the microelectronics industry.

PNNL experts in nuclear forensics helped lead laboratories around the world through a rigorous test involving nuclear materials.

Nonproliferation Policy and Law Analyst, Chanel Chauvet, served as the legal expert in the International Atomic Energy Agency's effort to update Uzbekistan's Integrated Nuclear Security Support Plan.

PNNL researchers teamed up with SambaNova to enhance artificial intelligence for scientific computing.

As wildfires grow increasingly severe, PNNL researchers are working to slow their spread and mitigate their harmful effects.

John VerWey, East Asia national security advisor, delivered remarks on competition in global supply chains at a U.S.-China Economic Security Review Commission hearing in June 2022.

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

PNNL researchers design an artificial intelligence-guided electron microscope in a Laboratory Directed Research and Development study.

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

The size of the alkali metal within the material influences the crystallization pathway.

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

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

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

Combining advanced powder synthesis with solid state processing allows researchers to streamline oxide dispersion-strengthened steel fabrication.

Amelia Hough-Ross, an IT engineer in Research Computing at PNNL, will be presenting at the Wonder Women Tech Ignite Virtual Summit on May 4-5, 2022.

PNNL experts perform fundamental climate science work at multiple scales to understand impacts on energy, water, food, and infrastructure systems.