Scientists used chemically sensitive X-ray microscopy to map lithium transport during battery operation.
Six new nuclear reactor technologies are planned to commercially deploy between 2030 and 2040. ORNL's Weiju Ren heads a project managing structural materials information. This conversation explores challenges and opportunities in sharing nuclear materials knowledge internationally.
How atoms react to a sudden burst of light shows scientists how the larger material might act in sensors, data storage devices, and more.
Warp+PXR dramatically improves the accuracy of the simulations compared to those typically used in plasma research. Now, researchers can simulate lasers' interactions with plasma with much higher precision.
Superconductors are materials that show no resistance to electrical current when cooled. Recently, scientists discovered a new superconducting material. Now, scientists have found that when exposed to low-energy ultraviolet light, the material acts as a superconductor at higher temperatures.
The OARtrac(r) system includes technologies that are based on a novel application of scintillating material in fiber form. Doctors can insert these scintillating fibers into the human body via a catheter to monitor the radiation that cancer patients receive in a range of hard-to-reach areas.
A team devised a way to better model water's properties. They developed a machine-learning workflow that offers accurate and computationally efficient models.
For the first time, a team determined and predictably manipulated the energy landscape of a material assembled from proteins. Designing materials that easily and reliably morph on command could benefit water filtration, sensing applications, and adaptive devices.
A recent measurement exploring the structure of magnesium-40 has shown a surprising change in the structure relative to expectations. This unanticipated change could be pointing to physics missing from our theories, such as the effects of weak binding between particles.
To better store data, scientists need ways to change a material's properties suddenly. For example, they want a material that can go from insulator to conductor and back again. Now, they devised a surprisingly simple way of flipping a material from one state into another, and back again, with flashes of light. A single light pulse turns thin sheets of tantalum disulfide from its original (alpha) state into a mixture of alpha and beta states. Domain walls separate the two states. A second pulse of light dissolves the walls, and the material returns to its original state.
Supercomputer validates mathematical approach for describing geological features.
How do you determine the measurable "things" that describe the nature of our universe? To answer that question, researchers used CosmoFlow, a deep learning technique, running on a National Energy Research Scientific Computing Center supercomputer. They analyzed large, complex data sets from 3-D simulations of the distribution of matter to answer that question. The team showed that CosmoFlow offers a new platform to gain a deeper understanding of the universe.
American ingenuity is providing radical productivity improvements from advanced materials and robotic systems developed at the Department of Energy's Manufacturing Demonstration Facility at Oak Ridge National Laboratory.
Engineers can model heat distribution in reactor designs with fewer or no approximations.
The behavior of active magnetic liquids suggests new pathways to transport particles across surfaces and build materials that self-heal.
Researchers demystify how the nitrogenase enzyme breaks bonds to learn a better way to make ammonia.
The symmetrical light-gathering, energy-producing complex offers insights into how modern photosystems evolved.
Three types of water molecules form around a platinum-based ion, offering insights for waste processing and metal refining.
New technique enables more efficient and precise estimates of trends in ozone and other atmospheric constituents within selected geographical regions and timeframes.
Global data set shows monthly water use by irrigation, manufacturing, and other uses, helping researchers to analyze water use by region and season.
Researchers link root water uptake to root traits and assess (poor) performance of common models.
Ions at the edge of water, exposed to air, don't separate like they do when surrounded by water, offering insights for desalination and corrosion.
Predictions of the direct impacts of greenhouse gases must account for local temperature and humidity conditions.
Nutrients increasingly moving to the deep ocean with strong climate warming could lead to drastic drops in surface ocean life and fishery yields.
The MicroBooNE experiment demonstrates the use of machine learning to interpret images made by a liquid-argon particle detector.