Ken Geelhood is a nuclear engineer who is studying how the challenging conditions of a nuclear reactor affect the reliability of fuel.

Researchers developed a new tool that combines artificial intelligence and microscopy data to rapidly test new materials for fusion reactor use.

Infusing data science and artificial intelligence into electron microscopy could advance energy storage, quantum information science, and materials design.

PNNL researchers devised a new method to probe the atomic structure of plutonium-containing microcrystals using laboratory-based equipment.

In recognition of Nuclear Science Week on Oct. 19-23, Pacific Northwest National Laboratory reflects on more than half a century of advancing nuclear science for the nation’s energy, environment, and security frontiers.

Five PNNL technologies were recently awarded six R&D 100 honors. The R&D 100 Awards, now in its 58th year, recognize pioneers in science and technology from industry, the federal government, and academia.

Geophysical modeling and inversion software meets DOE and nuclear industry standards for use in decision-making for radiologically contaminated sites.

The American Society for Quality (ASQ) has recognized Laboratory Fellow and Pacific Northwest National Laboratory (PNNL) Statistician Greg Piepel with the William G. Hunter Award.

Five papers co-written by 23 PNNL researchers were named Superior Paper Award Winners by the Waste Management Symposia.

An international team used PNNL microscopy to answer questions about how uranium dioxide—used in nuclear power plants—might behave in long-term storage.

The PNNL-led IDREAM Energy Frontier Research Center is exploring complex chemical phenomena to enable innovations in radioactive waste processing.

A new radiation-resistant material for the efficient capture of noble gases xenon and krypton makes it safer and cheaper to recycle spent nuclear fuel.

A 2011 earthquake and tsunami in Japan that knocked out a nuclear power plant helped inspire PNNL computational scientists looking for clues of future nuclear reactor mishaps by tracking radioactive iodine.

Researchers performed controlled laboratory experiments using river sediment to test organic matter thermodynamics as a mechanism of metabolic control in areas where groundwater and surface water mix.

Researchers performed a combined analysis of metabolic and gene co-expression networks to explore how the soil microbiome responds to changes in moisture and nutrient conditions.

By studying discrete functional components of the soil microbiome at high resolution, researchers obtained a more complete picture of soil diversity compared to analysis of the entire soil community.

International editing team provided 15-year update, with Devanathan focused on intersection of nuclear science, materials science, and multiscale modeling.

Researchers trained deep neural networks to accurately predict microbial interactions captured by fluorescence microscopy.

A strong interdisciplinary team with a high-performance track record recently received their third Award of Excellence in five years from the National Nuclear Security Administration (NNSA).

The PNNL chemist is leading a joint effort to study circadian rhythms and the gut microbiome.