Researchers have been investigating if machine learning techniques could be used to help create novel beers.

Using a novel settlement-related dataset produced more accurate population downscaling than using other, more traditional datasets.

Implementing and evaluating a new radiative transfer scheme that accounts for various topographic effects on solar radiation in an Earth system model.

A multi-institutional team has developed a deep learning framework to identify novel molecules as drug candidates.

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

A team led by researchers at PNNL demonstrated a new way to monitor deep subsurface fractures.

PNNL researchers uncover the mechanics behind dwindling Arctic sea ice and its influence on wildfire weather in the western United States.

City living translates to an extra two to six hours of uncomfortable weather per day in the summer for people in much of the United States.

Human-machine teaming may sound like something from the distant future. In “Human-Machine Teaming: A Vision of Future Law Enforcement” in Domestic Preparedness, Corey Fallon, Kris Cook, and Grant Tietje of PNNL examine this topic.

Additional fire-favorable weather associated with declines in Arctic sea ice during summer can increase autumn wildfires over the western United States.

Better representing cloud microphysics can Reduce model bias in simulating mesoscale convective system precipitation.

What’s at the heart of California’s uncertain future precipitation? New study finds natural cycles are likely cause.

New role for Harker-Klimeš merges her expertise in marine energy research and her love for the ocean.

The newly created ICON Science Cooperative is a resource enabling an innovative approach to science to generate transferable knowledge and increase equity.

New analysis demonstrates that the Madden-Julian Oscillation can influence tropical cyclones in the Pacific through both the atmosphere and the ocean.

A new study demonstrates how researchers can model human–Earth system feedbacks in a single internally consistent, computationally efficient framework.

Simulations show a strong correlation between the water content and the viscosity of organic aerosol over the Amazon rainforest.

PNNL researchers received the “Best Paper Award” at the 39th IEEE International Conference on Computer Design.

Ocean biogeochemical modeling software now available as open source to help researchers predict impacts of pollution, sea level rise, and climate change.

Johannes Lercher, Battelle Fellow and director of the PNNL Institute for Integrated Catalysis, envisions energy storage solutions at the new Energy Sciences Center.