Parallel graph neural networks identify protein-ligand 3-D structural interactions to aid in protein function prediction and drug discovery.

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

Anika Halappanavar’s research into COVID-19 misinformation earned her recognition by the Washington State Academy of Sciences as one of the state’s top high school researchers.

PNNL catalysis expert Yong Wang has assumed an associate editor role for the Chemical Engineering Journal.

Fifteen female materials scientists and engineers have collaborated on a perspective of electrochemistry in battery design.

A multi-institution team of researchers has developed a palladium-based catalyst that could clean emissions from natural gas engines.

PNNL’s Jie Xiao and Yuyan Shao are serving two-year terms on the executive committee of the Pacific Northwest section of The Electrochemical Society, which was chartered in October 2020.

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

The Battery500 Consortium, led by PNNL, has been awarded $75 million for advancing battery technologies over the next five years.

PNNL is rock solid on carbon storage, building on successful demonstration in eastern Washington.

PNNL is highlighting scientific and technical experts in the national security domain who were recently promoted to scientist and engineer Level 5, one of PNNL’s most senior research roles.

Developed at PNNL, Shear Assisted Processing and Extrusion, or ShAPE™, uses significantly less energy and can deliver components like wire, tubes and bars 10 times faster than conventional extrusion, with no sacrifice in quality.

An energy-efficient method to extrude metal components wins Association of Washington Business Green Manufacturing Award. PNNL’s Shear Assisted Processing and Extrusion™ technology consumes less energy and enhances material properties.

One effort toward better batteries for electric vehicles is hitting overdrive, thanks to new findings about the desirable silicon anode.

PNNL data scientists are refining their artificial intelligence tools with COVID-19 data to advance therapeutics and treatments for a future pandemic.

Rotational Hammer Riveting, developed by PNNL, joins dissimilar materials quickly without preheating rivets. The friction-based riveting enables use of lightweight magnesium rivets and also works on aluminum and speeds manufacturing.

PNNL bioenergy expert Dan Gaspar was awarded the R.A. Glenn Award for Best Paper at the American Chemical Society Fall Meeting on August 24.

Hypergraphs can more faithfully identify important genes in complex immune responses.

A discovery from PNNL and Washington State University could help reduce the amount of expensive material needed to treat vehicle exhaust by making the most of every precious atom.

A team of PNNL researchers are looking at how to evaluate robustness and accountability, fairness, and transparency of artificial intelligence models used to detect and quantify deceptive content online.