Incorporating green infrastructure into flood protection plans alongside gray infrastructure can shield communities, reduce maintenance, and provide additional social and environmental benefits.
PNNL data scientist was invited to give the first big-picture talk about autonomous control systems at the Autonomous Discovery in Science and Engineering Workshop.
PNNL’s Sequim campus hosts underrepresented students and teachers from Washington State’s Olympic peninsula to nurture future researchers needed to create sustainable, culturally sensitive, marine energy technologies.
The Triton Initiative supports projects funded through U.S. Department of Energy funding opportunity announcements developing environmental monitoring technologies for marine energy.
A team of PNNL researchers are looking at how to evaluate robustness and accountability, fairness, and transparency of artificial intelligence models used to detect and quantify deceptive content online.
A Q&A with Lauren Charles, veterinarian and PNNL data scientist, on zoonotic diseases and the role biosurveillance plays in mitigating the growing threat to global health.
More than 30 PNNL interns contributed to the Airport Risk Assessment Model, a web-based tool that helps airport security stakeholders prioritize resource allocations.
Using existing fish processing plants, kelp and fish waste can be converted to a diesel-like fuel to power generators or fishing boats in remote, coastal Alaska.
PNNL’s data-infused approach to electron microscopes’ use in scientific experimentation will help researchers and industry interpret large data streams and drive down costs.
Cailene Gunn discusses her work in science communication and how she communicates the Triton Initiative's research to help advance the marine energy industry.
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.
Machine learning techniques are accelerating the development of stronger alloys for power plants, which will yield efficiency, cost, and decarbonization benefits.