PNNL highlights four researchers whose joint appointments are creating new and diverse opportunities for expanding knowledge and scientific impact across institutions.

As he prepares to enter PNNL's Energy Sciences Center later this year, Vijayakumar 'Vijay' Murugesan is among DOE leaders exploring solutions to design and build transformative materials for batteries of the future.

New 140,000-square-foot facility will advance fundamental chemistry and materials science for higher-performing, cost-effective catalysts and batteries, and other energy efficiency technologies.

Explainable AI helps scientists understand and untangle the threads of information that the system uses to make choices or recommendations.

PNNL researchers discover a new route to mesocrystal formation.

New approach allows nonexperts to optimize control of a building's energy systems without adding computing power or proprietary software.

A research effort under the PNNL-led Battery500 Consortium solved a longtime debate surrounding a structure in lithium-metal battery anodes.

PNNL scientists joined international leaders in artificial intelligence research to discuss the latest advances, opportunities, and challenges for neural information processing—the foundation for AI.

A panel of five judges from the Bay Area and Silicon Valley investment community chose the PNNL innovation from 10 product pitches, all from different national laboratories.

Ettringite, a mineral found in cement, can latch on to and detain the wily and worrisome radioactive contaminant, pertechnetate.

PNNL researchers are examining the volatile radioisotope iodine as it evolves in the atmosphere and as it lands on a filtering surface.

PNNL computational biologists, structural biologists, and analytical chemists are using their expertise to safely accelerate the design step of the COVID-19 drug discovery process.

Project manager Larry Morgan has spent half a century at Pacific Northwest National Laboratory—marking one of the longest tenures in the laboratory’s history.

A research team from Pacific Northwest National Laboratory developed an apparatus that evaluates the performance of high-temperature fluids in hydraulic fracturing for enhanced geothermal systems.

PNNL researchers have shown an improved binarized neural network can deliver a low-cost and low-energy computation to help the performance of smart devices and the power grid.

PNNL and Microsoft Quantum partner to link quantum circuits to powerful government supercomputers.

Pacific Northwest National Laboratory researchers developed a graphical processing unit (GPU)-centered quantum computer simulator that can be 10 times faster than any other quantum computer simulator.

Materials scientists at PNNL are demonstrating materials with improved properties using solid phase processing.

Researchers at PNNL have developed a bacteria testing system called OmniScreen that combines biological and synthetic chemistry with machine learning to hunt down pathogens before they strike.

PNNL’s new Smart Power Grid Simulator, or Smart-PGSim, combines high-performance computing and artificial intelligence to optimize power grid simulations without sacrificing accuracy.