Making Quantum 'Waves' in Ultrathin Materials
A team of researchers co-led by Berkeley Lab has observed unusually long-lived wavelike electrons called "plasmons" in a new class of electronically conducting material. Plasmons are very important for determining the optical and electronic properties of metals.
Largest collection of 3D supernova simulations leads to new insights on explosion dynamics
Researchers using DOE supercomputers, including Argonne's Theta, produced pivotal 3D simulations to elucidate the physics behind the collapse of massive stars.
3D-Printed Nuclear Reactor Promises Faster, More Economical Path to Nuclear Energy
Researchers at the Department of Energy's Oak Ridge National Laboratory are refining their design of a 3D-printed nuclear reactor core, scaling up the additive manufacturing process necessary to build it, and developing methods to confirm the consistency and reliability of its printed components.
Computer vision helps SLAC scientists study lithium ion batteries
New machine learning methods bring insights into how lithium ion batteries degrade, and show it's more complicated than many thought.
Investigating the dynamics of stability
Scientists have gained important insight into the mechanisms that drive stability and activity in materials during oxygen evolution reactions. This insight will guide the practical design of materials for electrochemical fuel production.
Simulations Forecast Nationwide Increase in Human Exposure to Extreme Climate Events
Using ORNL's now-decommissioned Titan supercomputer, a team of researchers estimated the combined consequences of many different extreme climate events at the county level, a unique approach that provided unprecedented regional and national climate projections that identified the areas most likely to face climate-related challenges.
Four Years of Calculations Lead to New Insights Into Muon Anomaly
For two decades, physicists have been trying to reconcile a gap between theoretical and experimental data on a particle called the muon. A new study, powered by Argonne's supercomputer Mira, sharpens one piece of the puzzle.
Four Years of Calculations Lead to New Insights into Muon Anomaly
Two decades ago, an experiment at Brookhaven National Laboratory pinpointed a mysterious mismatch between established particle physics theory and actual lab measurements. A multi-institutional research team (including Brookhaven, Columbia University, and the universities of Connecticut, Nagoya and Regensburg, RIKEN) have used Argonne National Laboratory's Mira supercomputer to help narrow down the possible explanations for the discrepancy, delivering a newly precise theoretical calculation that refines one piece of this very complex puzzle.
Story Tips: Tracking Populations, UPS' Special Delivery and a Long-Awaited Benchmark
Story tips from the Department of Energy's Oak Ridge National Laboratory
Study: Could Dark Matter Be Hiding in Existing Data?
A new study, led by researchers at Berkeley Lab and UC Berkeley, suggests new paths for catching the signals of dark matter particles that have their energy absorbed by atomic nuclei.
Crystal power
Scientists at the U.S. Department of Energy's Argonne National Laboratory have created and tested a single-crystal electrode that promises to yield pivotal discoveries for advanced batteries under development worldwide.
Software Flaws Often First Reported on Social Media Networks, PNNL Researchers Find
Software vulnerabilities are more likely to be discussed on social media before they're revealed on a government reporting site, a practice that could pose a national security threat, according to computer scientists at Pacific Northwest National Laboratory.
First direct look at how light excites electrons to kick off a chemical reaction
The first step in many light-driven chemical reactions, like the ones that power photosynthesis and human vision, is a shift in the arrangement of a molecule's electrons as they absorb the light's energy. Now scientists have directly observed this first step.
Water is Key in Catalytic Conversion of Methane to Methanol
Scientists reveal new details that explain how a highly selective catalyst converts methane, the main component of natural gas, to methanol, an easy-to-transport liquid fuel and feedstock for making plastics, paints, and other commodity products. The findings could aid the design of even more efficient/selective catalysts to make methane conversion an economically viable and environmentally attractive alternative to venting or flaring "waste" gas.
Nanodevices for the brain could thwart formation of Alzheimer's plaques
Researchers designed a nanodevice with the potential to prevent peptides from forming dangerous plaques in the brain in order to halt development of Alzheimer's disease.
A New Machine Learning Method Streamlines Particle Accelerator Operations
SLAC researchers have developed a new tool, using machine learning, that may make part of the accelerator tuning process five times faster compared to previous methods.
Scientists Explore Links Between Genetics, Gut Microbiome and Memory
Scientists have traced the molecular connections between genetics, the gut microbiome and memory in a mouse model bred to resemble the diversity of the human population. Researchers from two U.S. Department of Energy national laboratories identified lactate, a molecule produced by all species of one gut microbe, as a key memory-boosting molecular messenger.
Stabilizing High-Efficiency Solar Cells
A new processing method helps the devices maintain their initial efficiency over time under continuous exposure to light or heat.
Polymer membranes could benefit from taking a dip
A new technique developed by a team including researchers from the U.S. Department of Energy (DOE)'s Argonne National Laboratory makes atomic layer deposition possible on nearly any membrane.
Scientists explore the power of radio waves to help control fusion reactions
New research points to improved control of troublesome magnetic islands in future fusion facilities.
Machine Learning Tool Could Provide Unexpected Scientific Insights into COVID-19
A team of materials scientists at Lawrence Berkeley National Laboratory - scientists who normally spend their time researching things like high-performance materials for thermoelectrics or battery cathodes - have built a text-mining tool in record time to help the global scientific community synthesize the mountain of scientific literature on COVID-19 being generated every day.
A Leap in Using Silicon for Battery Anodes
Scientists have come up with a novel way to use silicon as an energy storage ingredient. They've developed a nanostructure incorporating carbon nanotubes to strengthen the material and modify the way silicon interacts with lithium, a key component in batteries used in electric cars and other devices.
Coupled magnetic materials show interesting properties for quantum applications
In a new study led by the U.S. Department of Energy's Argonne National Laboratory, researchers have uncovered a novel way in which the excitations of magnetic spins in two different thin films can be strongly coupled to each other through their common interface.
Advanced software framework expedites quantum-classical programming
An ORNL team developed the XACC software framework to help researchers harness the potential power of quantum processing units, or QPUs. XACC offloads portions of quantum-classical computing workloads from the host CPU to an attached quantum accelerator, which calculates results and sends them back to the original system.