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.

A Q&A with Lauren Charles, veterinarian and PNNL data scientist, on zoonotic diseases and the role biosurveillance plays in mitigating the growing threat to global health.

More than 30 PNNL interns contributed to the Airport Risk Assessment Model, a web-based tool that helps airport security stakeholders prioritize resource allocations.

A new report led by PNNL identifies the top 13 most promising waste- and biomass-derived diesel blendstocks for reducing greenhouse gas emissions, other pollutants, and overall system costs.

Researchers developed two solutions for air-conditioning—a novel, energy-efficient dehumidification system and a technology to detect refrigerant leaks. Both help increase energy-efficiency and reduce costs.

The Washington State Academy of Sciences consists of more than 300 elected members who are nationally recognized for their scientific and technical expertise.

PNNL bioenergy expert Justin Billing has contributed expertise to a newer standard designed to ensure the safety, performance, and sustainability of prefabricated fecal sludge treatment units.

Researchers have increased the lifetime of a promising electric vehicle battery to a record level.

Svitlana Volkova uses natural language processing and AI to reveal how misinformation and disinformation spread through social media.

Machine learning techniques are accelerating the development of stronger alloys for power plants, which will yield efficiency, cost, and decarbonization benefits.

Stanford-bound aspiring scientist gained valuable national laboratory research experiences through the Community College Internship program at PNNL.

PNNL is lending analytics expertise to a new first-of-its-kind electric-vehicle carsharing program being launched in Hood River, Oregon.

Svitlana Volkova, chief scientist for decision intelligence and analytics at PNNL, was invited as a panelist at the SIAM International Conference on Data Mining

Aaron Luttman, a mathematician and senior technical advisor at PNNL, was invited as a guest speaker during the 2021 National Math Festival.

A webapp developed by PNNL in collaboration with the University of Washington to help drive efficiencies for urban delivery drivers is now in the prototype stage and ready for testing.