The next-generation ShAPE machine has arrived at PNNL, where it will help prove the mettle of the ShAPE extrusion technique. ShAPE 2 is designed to allow researchers to produce larger, more complex extrusions.

Researchers from PNNL have been assessing installation and use of electric heat pumps in an Alaskan community that relies on fuel oil for heat. The resulting information could advance electrification in cold rural areas across the nation.

PNNL researchers are working to provide the technical assistance and expertise needed for communities to shape their clean energy future.

Study finds regional priorities shape people’s interest in improving the energy efficiency of their homes.

The use of disciplines in pure mathematics can increase the reliability and explainability of machine learning models that “transcend human intuition,” according to PNNL scientists.

The Rapid Assessment of Platform Technologies to Expedite Response project aims to prepare against future pandemics.

To overcome high-performance computing bottlenecks, a research team at PNNL proposed using graph theory, a mathematical field that explores relationships and connections between a number, or cluster, of points in a space.

Scientists are pioneering approaches in the branch of artificial intelligence known as machine learning to design and train computer software programs that guide the development of new manufacturing processes.

In honor of National Intern Day, PNNL and intern Jonathan Mills were named among the Top 100 in the nation by early-career recruiting firm WayUp.

TransMED analyzes patient data from similar diseases across multiple sources to understand COVID-19 patient outcome risk factors.

Air-conditioning needs an energy overhaul—PNNL research provides a roadmap to get there using energy efficient adsorption cooling.

A new extrusion process eliminates pre-heating to provide significant energy savings during production of extruded aluminum alloys.

A new control system shows promise in making millions of homes contributors to improved power grid operations, reaping cost and environmental benefits.

Lighting control data are critical for optimizing the design and operation of future lighting systems for the benefit of occupants and energy efficiency.

Focused research studies of advanced algorithms and materials are setting the stage for the next generation of quantum computers.

COVID-19 changed when and where we use electricity. Researchers showed that commonly available total demand data masked the actual changes.

Applying new approaches in energy codes may support improved building efficiency and decarbonization in the Big Apple and beyond.

DOE Integrated Lighting Campaign organizers introduce new recognition categories in horticulture, innovative financing, and energy equity.

PNNL researchers develop software that uses geographical data to build a free, open-source grid reference system to provide a precise system to locate structures.

With an eye on renewable, accessible, and resilient power, PNNL researchers show hyper-local microgrids are a viable option, if designed with the right mix of sources.