Combining Physics and Machine Learning to Analyze Particle Beams in Accelerators
A new technique combining physics and machine learning enables scientists to quickly reconstruct details of particle beams without the need for large datasets.
A new technique combining physics and machine learning enables scientists to quickly reconstruct details of particle beams without the need for large datasets.
A new study integrates fire processes into an Earth system model to help scientists simulate and better understand the impacts of pyrocumulonimbus clouds.
Scientists directly observed spin wave currents using advanced Resonant X-ray Scattering.
A new control framework enables automated, reliable control of quantum networks, paving the way for practical deployment.
Scientists found a potential way to suppress large damaging edge-localized modes, providing an approach to protect future devices.
Researchers identify butylamine as a promising solution to many challenges at biorefineries.
Researchers demonstrated an efficient strain of bacteria for bioproduction that grows on the promising feedstock formate.
Researchers have used an undulator’s magnetic field to generate and control ultrafast X-ray pulses.
Using the Advanced Light Source and Molecular Foundry, researchers identified the chemical stew found in samples of the asteroid Bennu.
Researchers gain a new understanding of the binding chemistry of radioactive antimony, opening doors for targeted therapy.
Using DNA scaffolding, scientists developed a universal method for producing a wide variety of functional, 3D metallic and semiconductor nanostructures
By combining a chiral semiconductor with an LED, scientists controlled the orientation of electron spin.