PNNL’s Solid State Lighting program evaluated the energy and photometric performance of adjustable LED lighting systems installed in three California classrooms as part of a GATEWAY study.

A PNNL researcher peers into the future and sees homes and neighborhoods seamlessly working together to coordinate energy use.

Following the energy crisis of 2000-2001, the State of Washington received financial settlements from six energy companies, a fraction of which was used for energy-efficiency research.

Scientists created a fast-track tutorial that equips a neural network to tackle drug discovery and other applications where there's a shortage of precisely labeled chemical data.

Society for Risk Analysis recognizes PNNL infrastructure network resilience collaboration with Northeastern University-Boston

PNNL's VOLTTRON is available to developers as part of the Eclipse Foundation.

Scientists are exploring the use of deep neural network to interpret highly technical data related to national security, the environment and the cosmos.