Filtered by Advanced Hydrocarbon Conversion, Chemical Physics, Data Analytics & Machine Learning, Earth System Science, Fuel Cycle Research, and Stakeholder Engagement
At a conference featuring the most advanced computing hardware and software, ML in its various guises was on full display and highlighted by Nathan Baker’s featured invited presentation.
Advancing a more collective understanding of coastal systems dynamics and evolution is a formidable scientific challenge. PNNL is meeting the challenge head on to inform decisions for the future.
PNNL and Argonne researchers developed and tested a chemical process that successfully captures radioactive byproducts from used nuclear fuel so they could be sent to advanced reactors for destruction while also producing electrical power.
Scientists at PNNL are bringing artificial intelligence into the quest to see whether computers can help humans sift through a sea of experimental data.
In today’s digital age, the rabbit hole of connected information can be not only a time sink, but downright overwhelming. Even for high-performance computers.
Twenty-four analysts from U.S. intelligence organizations met in August for a machine learning activity with PNNL researchers Nicole Nichols, Jeremiah Rounds, Lawrence Phillips, and Brian Kritzstein.
Trouble on the electric grid might start with something relatively small: a downed power line, or a lightning strike at a substation. What happens next?
Pacific Northwest National Laboratory is leading efforts to address next-generation computing’s critical role in protecting the nation from cybersecurity threats.
PNNL helped teach the next generation of principal investigators about aerosols—tiny atmospheric particles that can affect the Earth’s climate—during the 2019 Aerosol Summer School.
The inner Salish Sea’s future response to climate change, while significant, is predicted to be less severe than that of the open ocean based on parameters like algal blooms, ocean acidification, and annual occurrences of hypoxia.
After 10 years, a specialized research aircraft operated by PNNL for the DOE completed is final campaign. PNNL staff are leading efforts to instrument a new plane for future research.
Researchers at PNNL are applying deep learning techniques to learn more about neutrinos, part of a worldwide network of researchers trying to understand one of the universe’s most elusive particles.
A study co-led by PNNL and reviewed in Science investigates how nanomaterials—both ancient and modern—cycle through the Earth’s air, water, and land, and calls for a better understanding of how they affect the environment and human health.