Using an ensemble of artificial intelligence (AI) agents enabled faster, more accurate data analysis of synchrotron x-ray data.
Biological production of acetone and isopropanol by gas fermentation captures more carbon than it releases.
Machine Learning offers New Insights and New Parameterization for the path from Drizzle Drops to Warm Rain
Noise estimation circuits, in conjunction with other error mitigation methods, produce reliable results for quantum computer-based materials simulations
Adding a little oxygen to particle accelerator structures may make them more efficient and easier to build.
Monitoring photo-excited electrons in real time with nanometer sensitivity reveals strengths and weaknesses in a common light-harvesting material.
Scientists demonstrate the value of a new global atmosphere model for the Energy Exascale Earth System Model.
Six years of radar data from the Atmospheric Radiation Measurement (ARM) user facility site in Utqiaġvik, Alaska provide important details on how secondary ice particles form in Arctic clouds.
An operating mode called wide pedestal quiescent H-mode allows tokamak operation without detrimental edge instabilities.
The search for “broken symmetry” may offer new insight into nuclear structure.
Ground-breaking image reconstruction and analysis algorithms filter out cosmic rays to pinpoint elusive neutrinos.
New approach helps protect tokamak walls while maintaining fusion conditions in the core.
