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. 

PNNL bioenergy expert Karthikeyan Ramasamy was a co-guest editor in an American Chemical Society Energy & Fuels virtual special issue on advances in biomass and wastes thermochemical processing.

A paper published last year by scientists at Pacific Northwest National Laboratory was featured in the 2021 Editor’s Choice collection for the Cell Reports Physical Science journal.

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.

Tim Johnson has been selected for an open-ended term as associate editor of the Groundwater journal.

Surface characterization allows researchers to explore the compatibility between different solvent-membrane combinations.

Soil pores are reorganized when newly thawed permafrost soils experience freeze-thaw cycling.

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.

Recognizing how innovation and clean technologies at the very edge of the grid can work together to transition the electricity system, PNNL takes a multidisciplinary approach to advancing and integrating renewable energy solutions.

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 size-tunable ionic liquid clusters make electrochemical separations more efficient.

Jingshan Du will serve a three-year term on the Early Career Editorial Advisory Board of ACS Biomaterials Science & Engineering.

Newly determined energy transfer mechanisms help identify how water releases from and damages irradiated interfaces.

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