Deep Learning Reveals Mysteries of Deep Space
Supercomputer use offers insights into how to best describe the nature of our universe.
Supercomputer use offers insights into how to best describe the nature of our universe.
Pairs of sub-atomic particles may catalyze reactions that happened moments after the Big Bang.
Metal-organic frameworks designed with a topology-guided approach show higher efficiency than commercial benchmarks.
A flowing magnetically responsive liquid seamlessly regulates the shape and properties of solids, letting them perform an array of jobs.
Low-momentum (wimpy) quarks and gluons contribute to proton spin, offering insights into protons’ behavior in all visible matter.
Researchers use advanced nuclear models to explain 50-year mystery surrounding the process stars use to transform elements.
A new route to make metal beneath a layer of graphite opens potentially new applications in solar cells and quantum computing.
Read more about Getting Metal Under Graphite’s SkinThe radii of three proton-rich calcium isotopes are smaller than previously predicted because models didn’t account for two nuclear interactions.
Read more about Why Are These Extremely Light Calcium Isotopes So Small?Titan supercomputer tells origin story of nanoparticle size distributions with large-scale simulations.
Detailed view of atoms opens doors for new designs to convert atomic displacements to electrical energy.
Read more about New Insights into a Long-Standing Debate About Materials that Turn Motion into ElectricityResearchers design self-assembling nanosheets that mimic the surface of cells.
Read more about Tiny, Sugar-Coated Sheets Selectively Target PathogensInsight about energy flow in copper-based material could aid in creating efficient molecular electronics.