How to keep stray radiation from “shorting” superconducting qubits; a pair of studies shows where ionizing radiation is lurking and how to banish it.
A new digital twin platform can help hydropower dam operators by providing accurate and predictive models of physical turbines that improve facilities and enhance reliability.
Scientists are developing ways to detect and identify not only new, previously unseen forms of fentanyl but also newer and more dangerous synthetic opioids known as nitazenes.
The search for dark matter includes expertise in radio frequency signal detection, quantum sensing, and high-energy physics at PNNL.
A recent collaboration among researchers from HUN-REN Wigner Research Centre for Physics in Hungary and the Department of Energy’s Pacific Northwest National Laboratory, along with industry collaborators SandboxAQ and NVIDIA, has achieved unprecedented speed and performance in efforts to model complex metal-containing molecules.
Protecting critical systems such as the electrical grid and water treatment plants from cyber-based risks to the supply chain is the focus of a new conference at Pacific Northwest National Laboratory.
PNNL researchers are developing a new approach to explore the higher-dimensional shape of cyber systems to identify signatures of adversarial attacks.
Scientists have plumbed the depths of nearly 3,000 soil samples from around the globe to put together the heftiest atlas of soil viruses ever created. But what are all those viruses doing in the soil? More than 97 percent are considered “viral dark matter” that have no known function.
The speed and agility of cloud computing opens doors to completing advanced computational chemistry workflows in days instead of months.
Operators of critical infrastructure are trained to respond to cyberattacks using scale models of water treatment plants, freight rail yards, and more.
Finding a needle in a haystack is the quintessentially impossible task. But what if new tools could make it straightforwardly achievable? Imagine if, instead of searching through everything by hand, you could portion out small piles of hay and use magnets.
Ultra-thin layers of silk deposited on graphene in perfect alignment represent a key advance for the control needed in microelectronics and advanced neural network development.
The Department of Energy (DOE) selected Gavin Cornwell, Sneha Couvillion, and Bo Peng of Pacific Northwest National Laboratory (PNNL) to receive 2024 Early Career Research Program awards. The three researchers work in fields that represent major areas of focus for PNNL: Earth science, biology, and chemistry.
SEQUIM, Wash.—Officials gathered at the Sequim campus of the Department of Energy’s Pacific Northwest National Laboratory today to dedicate DOE’s first hybrid-electric research vessel, RV Resilience.The event marks the start of a new era of marine energy research at PNNL-Sequim, part of DOE’s Office of Science national laboratory system and Resilience’s new home port.
The complicated chemistry of legacy nuclear waste presents a challenge in environmental management. The presence of radioactive ions induces chemical changes that range from faster than the blink of an eye to decades in the making. Since 2016, researchers led by Pacific Northwest National Laboratory (PNNL) have been persistent in tracking and analyzing the chemical phenomena that occur in the extreme environments found in legacy nuclear waste.
Long-duration energy storage gets the spotlight in a new Energy Storage Research Alliance featuring PNNL innovations, like a molecular digital twin and advanced instrumentation.
An international collaboration to protect the world from nuclear threats got a boost in 2023 when a visiting researcher brought an understudied plutonium processing chemistry method to Pacific Northwest National Laboratory (PNNL) for hands-on research. “It’s not trivial to bring an outside researcher to PNNL and get them working in a glove box,” said PNNL nuclear forensics scientist and technical group leader Dave Meier.
Kabrena Rodda, manager of the Analytical Chemistry and Instrumentation Group at PNNL, received the distinction of ACS Fellow.
Scientists have developed a way to detect tiny amounts of hard-to-detect explosives more than eight feet away.
Researchers are planning for an electric grid that deploys machine learning to think ahead, plan for the worst, anticipate demand, and meet consumer needs safely and securely.
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