A new open-source feature tracking package is now available to facilitate advanced model evaluation, model development efforts, and scientific discovery.

PNNL researchers present challenges and opportunities for fusing graph neural networks with deep reinforcement learning.

PNNL researchers demonstrated a simple method to create stable, identical nanoparticles of PdTe2-like composition, which is known to be superconducting, on a WTe2 TMD support.

PNNL welcomes six Department of Energy Office of Science Graduate Student Research awardees from across the nation.

ACMD staff contributed to 30 years of atmospheric data collection for the Department of Energy’s Atmospheric Radiation Measurement user facility.

IDREAM research shows that keeping only the most important two- and three-body terms in reactive force fields can decrease computational cost by one order of magnitude, while preserving satisfactory accuracy.

Chemist Grant Johnson offers tips for mentoring a successful internship and creating opportunities for undergraduate students to publish research.

The new members were recognized for their outstanding scientific achievements.

This study demonstrated that a large-scale flooding experiment in coastal Maryland, USA, aiming to understand how freshwater and saltwater floods may alter soil biogeochemical cycles and vegetation in a deciduous coastal forest.

PNNL scientists design a highly sensitive neutrino detector for the Deep Underground Neutrino Experiment.

Algae can collect and concentrate rare earth metals from seawater—an alternative to imported sources mined from the ground.

Waste Management Symposia ‘Paper of Note’ and ‘Superior Paper’ awards recognize PNNL contributions to advancing radioactive waste and materials management.

Models show that in a warmer climate, the 2012 North American derecho would shrink and decay earlier in Mid-Atlantic coastal areas.

Research in the Energy Sciences Center explores how heat changes in chemical reactions, paving the way for more efficient fuels and processes.

This study profiled the 24-hour rhythmicity in bile salt hydrolase enzyme activity using simple fluorescence assay and the results showed that this rhythmicity is influenced by feeding patterns of the host.

Materials scientist Tiffany Kaspar was selected as a new fellow of AVS.

Grant Johnson and Zdenek Dohnálek gave invited presentations and chaired sessions at the Cluster Meeting 2023.

Varying environmental conditions enabled researchers to quantitatively control the dissolution of metal oxide nanorods.

Highly precise and controllable single-atom catalysts are affected by reaction conditions, which can alter the bonding around the atoms and the activity.

PNNL has named Biomedical Scientist Tom Metz, an expert on metabolomics and multi-omics within the Biological Sciences Division, a 2023 Laboratory Fellow.