The environmentally friendly, streamlined solution for recovering valuable minerals from “e-waste” is also faster and more economical than conventional approaches—opening new doors to recycling materials from old devices.
The Generator Scorecard, developed by PNNL in partnership with BPA, automates generator evaluations, reducing engineering workloads and improving grid reliability.
A team from PNNL contributed several articles to the Domestic Preparedness Journal showcasing recent efforts to explore the emergency management and artificial intelligence research and development landscape.
Four engineers at PNNL received awards for nuclear science presentations related to Hanford Site cleanup at the annual meeting of the world's leading organization for chemical engineering professionals.
Researchers developed a robust, cost-effective, and easy-to-use cap-based technique for spatial proteome mapping, addressing the lack of accessible proteomics technologies for studying tissue heterogeneity and microenvironments.
Adam Attarian, a PNNL applied mathematician and data scientist in the Applied Artificial Intelligence Systems group, has been accepted into an Office of the Director of National Intelligence fellowship.