By studying discrete functional components of the soil microbiome at high resolution, researchers obtained a more complete picture of soil diversity compared to analysis of the entire soil community.

Researchers trained deep neural networks to accurately predict microbial interactions captured by fluorescence microscopy.

Six months into a pandemic that has claimed more than 570,000 lives worldwide, scores of PNNL scientists are engaged in dozens of projects in the fight against COVID-19.

Researchers have developed a new technique to visualize the activity and distribution of enzymes that mobilize phosphate around plant roots.

Accurate identification of metabolites, and other small chemicals, in biological and environmental samples has historically fallen short when using traditional methods.

A new study using proteogenomics to compare cancerous tissue with normal fallopian tube samples advances insights about the molecular machinery that underlies ovarian cancer.

PNNL employs deep learning strategies to advance Model Predictive Control (MPC), a highly promising solution for intelligent building operations.

The researchers treated human pancreatic islets with substances produced by the body and thought to be involved in the diabetes disease process.

PNNL’s Srinivas Katipamula and Nora Wang have received a Northwest Energy Efficiency Alliance award for contributing to the success of Seattle’s Building Tune-Up Accelerator Program.

PNNL’s Intelligent Load Control technology manages and adjusts electricity use in buildings when there’s peak demand on the power grid.

A multi-institute research team is exploring ways to improve residential walls across America, making homes warmer and drier and delivering significant energy savings.

A PNNL technology enables automated Economic Dispatch, which coordinates the use of energy in a manner that enhances distributed generation, efficiency, renewables, and grid reliability.

Researchers at PNNL construct a novel approach that requires less field work while delivering critical information on building code compliance and energy efficiency in new homes.

PNNL researchers Jianming Lian, Karanjit Kalsi, joint appointee Wei Zhang, and former PNNL intern Sen Li recently received a patent for a market mechanism consisting of novel bidding and clearing strategies.

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