PNNL scientists developed a new, tiny battery and tag to track younger, smaller species, to evaluate behavior and estimate survival during downstream migration.
PNNL computer scientists joined international leaders in machine learning to present research to detect and address potential cybersecurity threats and devise epidemic interventions.
Sriram Krishnamoorthy, a computer scientist at PNNL, collaborated with a University of Utah team on a student computing research project that won Best Student Paper at SC20.
James A. Ang, a PNNL computing expert, was recently invited to moderate a panel in a virtual workshop focused on federally funded research and development on software for heterogeneous computing.
PNNL biologists have developed a more efficient way to estimate salmon survival through dams that uses solid science but saves over 42 percent of the cost.
PNNL's Sensor Fish were deployed at Ice Harbor Dam to collect data from a new turbine. The data indicates the design changes are making travel through the dam less arduous for fish.
PNNL will provide technical support to finalists in the Incubate stage and to Grand Prize Winners following the Pitch contest stage of the Fish Protection Prize competition, which is now accepting submissions.
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.
For decades, the Department of Energy's Pacific Northwest National Laboratory has played a role in establishing and maintaining sustainable hydropower for the region.
