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31–40 of 737Warp+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® 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.
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.
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