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.

Thin oxide films play an important role in electronics and energy storage. Researchers in PNNL’s film growth laboratory create, explore, and improve new thin oxide films.

PNNL’s Katie Arkema was selected to be on NASEM committee focused on public health and conservation.

Mitra Taheri served as a co-editor on a special issue of the Materials Research Society Bulletin, which also featured work from Daniel Schreiber and Cindy Powell.

Combining peptoids and carbon nanotube porins creates a new class of stable membranes with potential applications in separations science.

A combined experimental and modeling study shows that electronic interactions direct how a metal-organic framework grows.

A PNNL-developed computational framework accurately predicts the thermomechanical history and microstructure evolution of materials designed using solid phase processing, allowing scientists to custom design metals with desired properties.

PNNL researchers combined deep operator networks with spectral methods to efficiently and accurately solve complex equations.

Hydrogen bonding and proton transfer control the identity and reactivity of molecules in highly concentrated and alkaline aluminate solutions.

Cesar Moriel from University of Texas at El Paso will be interning at the PNNL over the summer as part of the Energy Environment Diversity Internship Program.