By mimicking nature, scientists make a breakthrough in breaking down wood.

Research from PNNL and the University of Washington demonstrates the extension of the MBE for periodic systems and its use to decompose the lattice energies of different ice polymorphs.

To overcome high-performance computing bottlenecks, a research team at PNNL proposed using graph theory, a mathematical field that explores relationships and connections between a number, or cluster, of points in a space.

Researchers have knitted together three large databases of information to help cybersecurity experts detect and prevent attacks.

Jingshan Du was named an associate editor of the journal Frontiers for Young Minds, which publishes articles about scientific research for young readers.

PNNL researchers teamed up with marine energy developers to test a new wave energy conversion device through the TEAMER program.

A project team at PNNL has been honored with the Project Management Achievement Award for 2022 from the Department of Energy.

A combined experimental and theoretical study identified multiple interactions that affect the performance of redox-active metal oxides for potential electrochemical separation and quantum computing applications.

Irradiated boehmite nanoplatelets form smaller aggregates and have a rougher surface than non-irradiated platelets.

Water affects the intermediates present on the surface of a metal oxide catalyst during ketonization.

PNNL’s Isabella van Rooyen leads the JOM special section on Additive Manufacturing for High Temperature Energy Systems.

Research.com ranked PNNL joint appointee George Karniadakis as one of the top mathematicians in the world.

The PNNL-patented ShAPE™ manufacturing process produces high-strength aluminum vehicle parts that lower costs and are more environmentally friendly.

Advances in understanding the nature of the chemical bond are featured in this special issue of The Journal of Chemical Physics.

Juan Carlos Idrobo, a joint appointee with the University of Washington, was elected a fellow of the Microscopy Society of America.

Deep learning helps make predictions on the effects of the El Niño-Southern Oscillation on river flows more accurate.

Materials science postdoctoral researcher Jingshan Du received a Distinguished Student Program award to participate in the American Physical Society meeting.

PNNL welcomes new joint appointments to expand the research productivity and scientific impact of both PNNL and the university partners, broadening the base of expertise at each institution and helping to build interdisciplinary teams.

Artificial intelligence may help humans and computers work together to monitor materials that could be used to make weapons.

PNNL senior materials scientist Keerti Kappagantula has been named to the 2023 Nominating Committee of ASM International.