Feature Articles

Creating films with atomic precision allows researchers moving to the Energy Sciences Center to identify small, but important changes in the materials.

This story, profiling theoretical physicist Jennifer Rittenhouse West, is a pilot project conceived by the Software Working Group of the EIC User Group to become part of a series of profiles of future users of the Electron-Ion Collider (EIC). The EIC is a next-generation nuclear physics research facility being built at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory in partnership with DOE’s Thomas Jefferson National Accelerator Facility and collaborators around the world.

A Q&A with Berkeley Lab scientists on how hydrogen can help achieve net-zero emissions. Adam Weber is Berkeley Lab's Hydrogen and Fuel Cell Technologies Program Manager and leads Berkeley Lab’s Energy Conversion Group (ECG), and Ahmet Kusoglu is a staff scientist in the ECG, a multidisciplinary team of electrochemists, chemical engineers, mechanical engineers, theorists, and material scientists with active collaborations across industry, academia, and national laboratories.

Argonne hosted the 13th annual Modeling, Experimentation and Validation Summer School July 19-30. National labs and industry helped fill a critical educational gap for the engineers and scientists who will shape the future of nuclear energy.

PNNL has developed seaweed-based inks and materials for 2-D and 3-D printing that can be used for a multitude of applications in the art, medical, STEM, and other fields.

Sandia National Laboratories’ solar researchers and librarians have spent the past few years collecting, digitizing and cataloging a host of reports, memos, blueprints, photos and more on concentrating solar power, a kind of renewable energy produced by using large mirrors to reflect and concentrate sunlight onto a receiver on a tower to generate electricity. These historical research documents are now in a publicly accessible digital archive for other concentrating solar power researchers, historians, corporations and citizens to view.

Some devastating diseases, like Alzheimer's and autoimmune conditions, are hard to diagnose correctly because doctors don’t yet know what genes or molecules to look for. But this new technique inspired by the Star Trek tricorder can spot disease without the clues, using infrared light and machine learning.

Marilyn Brown of the Georgia Institute of Technology recently began a joint faculty appointment, or JFA, with the Climate Change Science Institute at the Department of Energy’s Oak Ridge National Laboratory. As an internationally recognized leader in climate solutions and energy policy, Brown will collaborate with ORNL to apply insights from global climate science to inform regional strategies that reduce carbon emissions and equitably address impacts on communities.