PNNL

Project Overview

Testbed Operations

Environmental Setting

Environmental setting of the Sequim Bay Underwater Demonstration Site.

Tracking Explosions with Toughened-Up Tracers

PNNL researchers created rugged, adaptable, mass-manufacturable luminescent particle tracers for use in harsh environments.

PNNL’s Expertise in AI, Machine Learning Highlighted at Neural Information Processing Systems Conference

As leaders in AI and machine learning, PNNL experts are sharing their latest findings at the 36th annual Neural Information Processing Systems (NeurIPS) Conference, Nov. 28–Dec. 9, 2022.

PNNL-Sequim Team Wins ESTCP Project of the Year

PNNL-Sequim team wins ESTCP Project of the Year for their work supporting underwater munition remediation.

MedINT

Environment Does Not Determine Light-Driven Organic-Nanoparticle Electron Exchange Efficiency

The nature of an iron oxide mineral and amount of light control electron movement from a light-absorbing molecule to the mineral, rather than the conditions of the surrounding aqueous environment.

From the Classroom to Cleanup: Internships in Environmental Science

Data Management Systems Allow Scientists to Share Findings

Multidisciplinary teams from research and industry are brought together using management systems developed by a team of software engineers at PNNL.