Combining synthesis, characterization, and theory confirmed the exotic properties and structure of a new intrinsic ferromagnetic topological material.
Using Earth-based particle accelerators, scientists measure the reactions that take place in stars to produce carbon.
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.
Unusual filling of different sub-shells due to quantum confinement leads to a stable superatom that is also highly magnetic.
Short and long-range electron transfer compete to determine free-charge yield in organic semiconductors.
Researchers discover key details of how to drive photosynthesis in the shade by studying far-red light acclimation in cyanobacteria.
Neural networks determine the amplitude and phase of X-ray pulses, enabling new, high-resolution quantum studies.
