Feature Articles

Scientists at the Department of Energy’s Oak Ridge National Laboratory used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities and resilience opportunities in every region of the country.

Eight teachers from Long Island school districts became science researchers this summer in a new training program designed to build awareness of the U.S. Department of Energy’s (DOE) Office of Science mission areas and transfer real-world technology and coding-based skills to the classroom.

As the world clamors for carbon-free power, U.S. nuclear reactor developers have responded with a multitude of advanced reactor designs.

On the heels of a storm-saturated spring and summer of record-breaking heat in the Southeastern U.S., a team of environmental scientists from U.S. Department of Energy (DOE) national laboratories will soon set up a suite of sophisticated scientific instruments in Alabama’s William Bankhead National Forest. Their goal: Gather data on how clouds, vegetation, and aerosol particles suspended in the atmosphere interact to affect local weather and Earth’s climate.

PNNL chemical engineer Reid Peterson helped develop the process to pretreat Hanford Site tank waste by removing cesium-137.

A team of scientists from Jefferson Lab and the University of Virginia have turned to machine learning in the quest to streamline beam tuning on the Continuous Electron Beam Accelerator Facility – and reduce accelerator downtime. The two-year project grew out of Jefferson Lab’s Laboratory Directed Research and Development program and was recently awarded $1 million in funding from the U.S. Department of Energy.

With today’s fast and automated analysis tools, the field of biology is bursting at the seams with datasets about gene sequences and expression in the microbiomes around us – and inside us. We’re rallying the scientific community to make this wealth of data reusable across teams, so that we can advance science rather than duplicate effort.