Buildings account for around 40 percent of our nation's energy use and consume 75 percent of our nation’s electricity each year. Energy use is also one of the biggest costs for facility owners.

Data Scientist Sam Chatterjee to chair security and defense specialty group of the Society for Risk Analysis.

Researchers at PNNL revisit a disaster recovery framework for relevance to COVID-19 pandemic.

PNNL computational biologists, structural biologists, and analytical chemists are using their expertise to safely accelerate the design step of the COVID-19 drug discovery process.

David Manz is a cybersecurity researcher who is working with cyber-physical systems to better protect the critical infrastructure.

PNNL’s longstanding grid and buildings capabilities are driving two projects that test transactive energy concepts on a grand scale and lay the groundwork for a more efficient U.S. energy system.

PNNL data scientists Ján Drgoňa and Draguna Vrabie are working to reduce deployment costs of advanced energy control systems for buildings.

A PNNL engineering team has designed personal protective equipment in support of COVID-19 aid.

The Facility Cybersecurity toolkit, developed by PNNL, is designed for federal facilities to help implement the presidential executive order on cybersecurity, but it is also available for commercial facilities without charge.

Pacific Northwest National Laboratory (PNNL) researchers pioneer a new tool to represent cellular response to viral infection.

The PNNL-developed VOLTTRON™ software platform’s advancement has benefited from a community-driven approach. The technology has been used in buildings nationwide, including most recently on a university campus.

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

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.

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