
To Better Predict Extreme Precipitation, Scientists Model Cloud Microphysics
Cloud microphysics affect precipitation extremes on multiple time scales in climate models.
Cloud microphysics affect precipitation extremes on multiple time scales in climate models.
A new UV-visible protein allows researchers to see gene expression in plants without special equipment.
Researchers used deep learning methods to estimate the subsurface permeability of a watershed from readily available stream discharge measurements.
Combining synthesis, characterization, and theory confirmed the exotic properties and structure of a new intrinsic ferromagnetic topological material.
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.
Short and long-range electron transfer compete to determine free-charge yield in organic semiconductors.
Neural networks determine the amplitude and phase of X-ray pulses, enabling new, high-resolution quantum studies.
Using two methods is better than one when it comes to observing how solar cells form and improving cell properties.