Where molybdenum dopants sit within catalytic material affects catalysis at a mechanistic level.

Better representing electric capacity markets, economic retirements, and power-plant age structure provides a more robust understanding of the future evolution of the electric sector.

Researchers isolated a molecular copper hydride monomer for the first time.

MSD-LIVE, a cloud-based data and code management system, will be released in summer 2022 for hundreds of scientists.

A process developed at PNNL that converts biomass and waste into a chemical intermediate or into gasoline, diesel, and jet fuel is available for commercial licensing.

A study that combined experiments and theory showed how model enzymes control challenging reactions involving highly reactive carbocations.

A new simple and scalable synthesis produces nanoparticle assemblies that can perform catalytic hydrogen sensing at room temperature for the first time.

By decreasing the amount of precious metal in a catalyst, the system increased its efficiency and selectivity for breaking apart plastics.

The Co-Optimization of Fuels & Engines initiative recently outlined six years of research in a findings and impact report.

Tuning the environment and platinum-group metal allows researchers to control which bonds the catalyst breaks using hydrogen.

An improved model captures the interactions between the U.S. economy, energy, water, and land systems with increased spatial and temporal detail.

A climate change study co-authored by PNNL scientist Hailong Wang inspired an artist to create an exhibit based on the research.

PNNL contributes to 30 years of data on clouds, radiation, and other climate-making factors as part of field campaigns and analysis conducted by DOE's Atmospheric Radiation Measurement user facility.

New work developed a methodology to generate building temperature setpoint schedules for use by modelers in large-scale building energy simulations.

Storage Targets and Release Function Inference Tool uses data to infer the operating policies of large reservoirs on a national scale.

A multisectoral analysis that combines land use data with hydrological simulations reveals wide disparities in potential source water contamination.

COVID-19 had multiple impacts on the electric sector and the nature of those impacts varied on the scale analyzed.

A comprehensive understanding of the electronic structure of uranyl ions provides insight into the chemistry of nuclear waste and uranium separation technologies.

PNNL researchers worked to decouple the effects that solvents impose on reactions catalyzed in the liquid phase.

Despite an increase in future electricity demands, virtual water trading in the U.S. electricity sector is expected to decline as renewable energy expands.