Theoretical study exploits precision of new heavy ion collision data to predict how gluons are distributed inside protons and neutrons
Long predicted by theory with support from supercomputers, this combination of neutrons advances nuclear physics
Quantum technique accelerates identification of entangled materials.
Cloud microphysics affect precipitation extremes on multiple time scales in climate models.
The Facility for Rare Isotope Beams has demonstrated an innovative liquid-lithium charge stripper to accelerate unprecedentedly high-power heavy-ion beams.
Combining synthesis, characterization, and theory confirmed the exotic properties and structure of a new intrinsic ferromagnetic topological material.
Scientists develop a new learning method that incorporates quantum chemistry descriptions with conventional machine learning to predict the properties of biochemical molecules.
Neutrons reveal remarkable atomic behavior in thermoelectric materials for more efficient conversion of heat into electricity.
The results may offer insight into the quark-gluon plasma—the hot mix of fundamental nuclear-matter building blocks that filled the early universe.
Studies of the nanostructure of a chiral magnet provides insights on controlling magnetic properties for applications in computers and other electronics.
New optics-on-a-chip device paves the way to helping characterize fast chemical, material, and biological processes.
Neutron scattering monitors structures during post-production heat treatment to validate production models.
