Feature Articles

PNNL intern Ki Ahn spent this past year as an undergraduate at PNNL gaining hands-on research experience in clean energy storage technologies for vehicles and aviation. Ahn is enrolling in Stanford University this fall to finish his bachelor's degree. With plans to major in mechanical engineering or computer science, he wants to explore how future aircraft technologies can be designed to reduce harmful environmental effects.

New energy-efficient dehumidifier technology holds promise to reduce energy consumption in residential A/C systems and increase the range of electric vehicles.

An Argonne engineer applied a specific type of artificial intelligence to the problem of how to predict material structures by only knowing some of their properties. This first-of-its-kind discovery led to further insights into the long-term durability of nuclear materials.

A computer code (Project Jupyter) co-developed by Berkeley Lab's Fernando Perez and embraced by the global science community over two decades has been hailed by Nature Magazine as one of "ten computer codes that transformed science."

PNNL's Dongsheng Li's crystal formation research helped reveal why nanoparticles sometimes self-assemble into five-sided shapes. The discovery will potentially be useful in medical research, electronics, and other applications.

Meant to foster innovation, the Department of Energy Office of Science's Laboratory Directed Research and Development program has supported the development of a number of technologies, including the CRISPR-Cas9 gene editing process.

A multinational effort is underway to understand and control the spread of disease among migratory birds.

Today, the US Department of Energy (DOE) announced $3.5 million for 23 collaborative research projects in high energy physics that involve substantial collaboration with Japanese investigators.

As the Deputy Group Leader of the Nuclear Data and Theory Group at Lawrence Livermore National Laboratory, Sofia Quaglioni is contributing to a unified understanding of the structure and lower-energy reactions of light nuclei.

PNNL's Framework for Assessment of Complex Environmental Tradeoffs (FACET) is designed to navigate and rigorously evaluate competing environmental, economic, and social impacts to help make decisions more equitable. In an example scenario prepared using publicly available data, FACET was applied to predict tradeoffs facing the Colorado River and to balance competing demands of river flow and temperature, along with withdrawals for cities, crop irrigation, and power generation.