A hybrid computing approach for solving quantum chemical problems offers a practical bridge between classical and quantum computing.

Williams brings his deep understanding of the technology industry and PNNL’s quantum and national security expertise to this Technical Advisory Committee.

A team of researchers developed a simulation approach to identify how atomic structures can affect the phonon transport of energy and information in quantum systems near absolute zero temperatures.

Through the Net Zero World Initiative, expertise from DOE national laboratories will be harnessed to put global net zero within reach.

Fundamental research conducted at the $90-million research facility will help the nation meet its clean energy goals.

High-performance imaging provides a cornerstone for innovation at the Energy Sciences Center opening at PNNL.

Brent VanDevender is an experimental nuclear physicist and the program manager for nuclear physics research at PNNL.

Scott Chambers creates layered structures of thin metal oxide films and studies their properties, creating materials not found in nature. He will soon move his instrumentation and research to the new Energy Sciences Center.

A new model offers more accurate predictions of how intensely hurricanes may strike.

PNNL computer scientist Ang Li serves as one of the principal investigators for a project selected to receive DOE funding.

PNNL’s Karol Kowalski leads one of the 29 projects selected to receive a total of $73 million in funding.

The U.S. Department of Energy has selected the Scalable Predictive Methods for Excitations and Correlated Phenomena project to receive funding to develop software for chemical research.

PNNL senior electrical engineer, Amy Qiao, tapped to serve IEEE Photonics Society Emerging Technologies Task Force.

PNNL combines AI and cloud computing with damage assessment tool to predict path of wildfires and quickly evaluate the impact of natural disasters, giving first responders an upper hand.

The DOE Early Career Research Program supports exceptional researchers during the crucial early years of their careers and helps advance scientific discovery in fundamental sciences

With quantum chemistry, researchers led by PNNL computational scientist Simone Raugei are discovering how enzymes such as nitrogenase serve as natural catalysts that efficiently break apart molecular bonds to control energy and matter.

Using the connected moments mathematical technique decreases the time and computational power needed for performing quantum computing simulations.

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.

Ultra-trace radiation detection technique sets new global standard for measuring the nearly immeasurable.

Connected moments math shortcut shaves time and cost of quantum calculations while maintaining accuracy.