PNNL scientists are taking part in a Department of Energy climate science field campaign in the Rocky Mountains of Colorado.

Researchers have discovered a news way to control the quantum behavior of semiconductor materials with laser light. The discovery could lead to a new kind of quantum material.

PNNL experts perform fundamental climate science work at multiple scales to understand impacts on energy, water, food, and infrastructure systems.

Colleen Kaul was elected to a three-year term on the American Meteorological Society’s Energy Committee, which began January 2022.

Dr. Joseph Williams explained the importance of quantum technologies in space at the University of Washington.

Focused research studies of advanced algorithms and materials are setting the stage for the next generation of quantum computers.

Examining the vast scientific literature about the urban impact on weather and climate enabled researchers to synthesize current understanding and to inform future work.

PNNL researchers have uncovered a plant-derived process that leads to the formation of aerosol particles over the Amazon rainforest and potentially other forested parts of the world. 

Quantum simulators help navigate noise on GPU-based HPC systems.

State-of-the-art numerical models can better simulate the convective clouds that produce most of the Amazon’s wet season rainfall.

Researchers used ground-based and remote-sensed datasets to comprehensively validate a tool for simulating land surface processes.

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

COVID-19 changed when and where we use electricity. Researchers showed that commonly available total demand data masked the actual changes.

Combining aircraft measurements and regional modeling allowed researchers to identify the role of in-plant biochemistry in secondary organic aerosol formation.

A review article examined over 500 publications covering nearly 200 years of research on the influence of urban environments on weather and climate, setting the stage for future research.

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

PNNL researchers utilized the Peeters-Devreese-Soldatov formulation to improve the accuracy of calculations for quantum chemistry.

A new hexagonal framework helps more accurately model watersheds at a range of scales.

Using unique laboratory single-particle measurements to understand some of the most uncertain processes affecting secondary organic aerosol formation.

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