News Archive | U.S. DOE Office of Science (SC)

Brookhaven's Computational Science Laboratory Accelerates Radar Simulator Code for Cloud Research

Optimization will enable atmospheric scientists to more quickly evaluate how well cloud models simulate processes observed by radar and other sensors and determine if observational systems are capturing accurate views of the atmosphere.

New Insights into Nanocrystal Growth in Liquid

Many seashells, minerals, and semiconductor nanomaterials are made up of smaller crystals, which are assembled together like the pieces of a puzzle. Now, researchers have measured the forces that cause the crystals to assemble, revealing an orchestra of competing factors that researchers might be able to control.

New Study on Graphene-Wrapped Nanocrystals Makes Inroads Toward Next-Gen Fuel Cells

A powdery mix of metal nanocrystals wrapped in single-layer sheets of carbon atoms, developed at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab), shows promise for safely storing hydrogen for use with fuel cells for passenger vehicles and other uses. And now, a new study provides insight into the atomic details of the crystals’ ultrathin coating and how it serves as selective shielding while enhancing their performance in hydrogen storage.

NERSC Supercomputers Help Berkeley Lab Scientists Map Key DNA Protein Complex

Chalking up another success for a new imaging technology that has energized the field of structural biology, researchers at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) obtained the highest resolution map yet of a large assembly of human proteins that is critical to DNA function.

Niyanth Sridharan: Asking the Right Questions

Niyanth Sridharan grew up in a family that indulged his questions by using real-world examples to explain scientific concepts. That natural curiosity still drives the materials researcher today as he explores additive manufacturing techniques at the Department of Energy's Oak Ridge National Laboratory.

Physicists Propose New Way to Stabilize Next-Generation Fusion Plasmas

Recent experiments have revealed evidence confirming that losses of up to 40 percent of high-energy particles are observed in experiments when many Alfvén waves are excited by deuterium beam ions used to simulate alpha particles and higher-energy beam ions in a fusion reactor.

Big Data Boost for Brain Research

Researchers are using Argonne National Lab's vast arsenal of innovative technologies to map the intricacies of brain function at the deepest levels, and describing them in greater detail than ever before through advanced data analysis techniques.

Team Led by Graduate Student at PPPL Produces Unique Simulation of Magnetic Reconnection

Jonathan Ng, a Princeton University graduate student at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), has for the first time applied a fluid simulation to the space plasma process behind solar flares northern lights and space storms.

Argonne Efforts Accelerate 3-D Printing Journey

Scientists from the U.S. Department of Energy’s (DOE) Argonne National Laboratory, Carnegie Mellon University, and Missouri University of Science and Technology are investigating the entire 3-D printing process, including the material properties of the metal powders and how the laser “melts” and shapes those powders into the desired components, to discover both how defects form and methods to avoid them.

Arjun Shankar: Advancing National Missions Through Smart Data

Arjun Shankar, a computer scientist at the Department of Energy’s Oak Ridge National Laboratory, works at the intersection of these missions, bridging domain researchers and data scientists to transform big data into smart data in order to accelerate scientific discovery.

Brookhaven Lab Says Goodbye to its 2017 Summer Interns, Future Leaders

On August 10, 2017, nearly 250 students studying science, technology, engineering, and mathematics (STEM) fields completed their summer internships at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory.

Digital Autodidact

Oak Ridge National Laboratory is testing a ‘deep-learning supercomputer in a box’ as it looks ahead to machines that automatically find insights in data.