A PNNL innovation uses steam to recover heat from the high-temperature reactor effluent in the HTL process, substantially reducing the propensity for fouling and potentially reducing costs.

PNNL researchers discovered a faster, more economical method to verify the amount of biofuel in mixtures of bio and fossil fuel.

Radha Kishan Motkuri lends skill and knowledge to co-lead special edition journal.

A new approach broadens the reach of quantum computers to previously challenging systems.

PNNL scientists Daniel Gaspar and Wei Wang were among nine scientists featured in journal article recognizing 2021-2022 ACS award honorees.

HiSVSIM enables large-scale quantum simulations through graph partitioning.

A new testbed facility capable of testing superconducting qubit fidelity in a controlled environment free of stray background radiation will benefit quantum information sciences and the development of quantum computing.

A PNNL research team has been recognized by the American Chemical Society with its Award for Affordable Green Chemistry.

From landfills to fill-ups: novel catalysts may make plastic upcycling cleaner and more cost-effective.

The American Chemical Society Richland Section has been recognized by its national organization with the Best Overall Section Minority Affairs award for 2022.

New research shows that compressing quantum circuits decreases noise and increases the accuracy of quantum calculations.

Plastic upcycling efficiently converts plastics to valuable commodity chemicals while using less of the precious metal ruthenium. The method could recycle waste plastic pollution into useful products, helping keep it out of landfills.

A process developed at PNNL that converts biomass and waste into a chemical intermediate or into gasoline, diesel, and jet fuel is available for commercial licensing.

As wildfires grow increasingly severe, PNNL researchers are working to slow their spread and mitigate their harmful effects.

PNNL chief research engineer Rob Dagle has been named 2021 PNNL Inventor of the Year.

New research from PNNL results in faster and more accurate variational quantum algorithm training.

Tiffany Kaspar’s work has advanced the discovery and understanding of oxide materials, helping develop electronics, quantum computing, and energy production. She strives to communicate her science to the public.

PNNL researchers developed a hybrid quantum-classical approach for coupled-cluster Green’s function theory that maintains accuracy while cutting computational costs.

The Co-Optimization of Fuels & Engines initiative recently outlined six years of research in a findings and impact report.

Three PNNL bioenergy experts have received adjunct appointments at Washington State University (WSU), working closely with the WSU-PNNL Bioproducts Institute and students.