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

Teams at PNNL welcomed their first two interns this summer from the competition-based program.

PNNL’s Reid Hart and Bing Liu have earned individual Champions of Energy Efficiency in Buildings awards from the American Council for an Energy-Efficient Economy.

PNNL worked with the Department of Energy on the Commercial Packaged Boiler rule, which will help reduce energy use, enhance the environment, and save dollars.

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.

Bing Liu was named to the newly established committee to further ASHRAE's decarbonization strategy.

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

Yunyang Ye, a research engineer at PNNL, receives ASHRAE Homer Addams Award.

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.

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

Srinivas Katipamula, a staff scientist at PNNL, has been honored with an ASHRAE Exceptional Service Award.

Michael Brambley, a mechanical engineer at PNNL, receives ASHRAE Exceptional Service Award.

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

Xantheas awarded a visiting fellowship from the International Center for Advanced Studies of Energy Conversion in Germany.

PNNL mathematicians and data scientists had a strong presence at the 2022 Joint Mathematics Meetings as event organizers and speakers.

PNNL's Tegan Emerson was invited to be one of two plenary speakers at the inaugural AIM 2022 congress. The Minerals, Metals & Materials Society organized AIM 2022 to connect materials and manufacturing researchers from around the world.

Researchers use machine learning to speed up the analysis of aerosol datasets from mass spectrometry.

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