Comparing new prediction to measurements of muons’ precession could potentially help scientists discover new subatomic particles.
The element’s unusual electron structure and behavior are vital to understanding and exploiting the chemical bonding and reactivity of the heavy elements.
Collaborative, open-source software and data platform accelerates systems biology research.
Model predicts smaller decrease in total corn yields than previous estimates.
Researchers developed a new self-generating lubricant with great potential for industrial applications.
Charged particles emanating from Jupiter’s magnetosphere are powered up to create the northern and southern lights on Ganymede, Jupiter’s largest moon.
In magnetic confinement fusion devices known as tokamaks, the maximum operational density limits the efficiency and now we know how this limit may be overcome.
Enabling beams to respond to plasma conditions in real time allows scientists to avoid instabilities and raise performance.
Collaboration powers machine learning software that performs data analytics on petabyte-sized data sets in series of successful test runs.
Systems biology leads the way to exascale computing on Summit supercomputer.
The first-ever computation of an atomic nucleus, the deuteron, on a quantum chip demonstrates that even today’s rudimentary quantum computers can solve nuclear physics questions.
Researchers design self-assembling nanosheets that mimic the surface of cells.
