Machine Learning Reveals Hidden Components of X-ray Pulses
Neural networks determine the amplitude and phase of X-ray pulses, enabling new, high-resolution quantum studies.
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.
Novel molecular beam scattering apparatus that uses a liquid flat jet can study chemical reactions at the gas liquid interface of volatile liquids.
Discovery of a short-lived state could lead to faster and more energy-efficient computing devices.
Scientists map atomic-level changes in the components of a running internal combustion engine using neutron techniques.
Varieties of switchgrass with different numbers of genome copies use different strategies in adapting to changes in climate and location.
Ultrafast electrons shed light on the web of hydrogen bonds that gives water its strange properties, vital for many chemical and biological processes.
Measuring the shape of intense bursts of terahertz light paves the way for future accelerator technologies.
The first report of room temperature ferroelectricity in bulk hafnia could extend Moore’s Law for data storage.
Monitoring data find that small spatial differences in snow cover, vegetation, and other factors shape how permafrost thaws.
The rhizosphere-on-a-chip offers an easier way to study a plant’s influence underground.
Researchers leverage viruses identified from worldwide environmental samples to expand knowledge of viral taxa and their role in tree microbiomes.