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.

SEA-CROGS is one of four Mathematical Multifaceted Integrated Capability Centers selected for support by the Department of Energy.

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.

The American Chemical Society Richland Section has been recognized by its national organization with the Best Overall Section Minority Affairs award for 2022.

New research makes molecular-level calculations of water faster and easier.

We are pleased to welcome 20 new joint appointees to PNNL.

Biomedical scientist George Bonheyo has been selected as chair of a new International Electrotechnical Commission committee charged with creating standards for researching and measuring biofouling on marine energy systems.

James Ang, John Feo, and Marco Minutoli organized a high performance computing workshop at the prestigious ISC High Performance 2022 conference.

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

A paper from PNNL and Southern California Edison describing new methodologies for assessing electric vehicle impacts to the grid was selected as a best paper by IEEE.

New research from PNNL results in faster and more accurate variational quantum algorithm training.

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

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

A new extrusion process eliminates pre-heating to provide significant energy savings during production of extruded aluminum alloys.

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 researchers developed a hybrid quantum-classical approach for coupled-cluster Green’s function theory that maintains accuracy while cutting computational costs.

Energy storage expert Ji-Guang (Jason) Zhang was honored by DOE with a Distinguished Achievement Award.

PNNL researchers created a model that helps materials scientists not only predict what is, but what could be.