How Does Drizzle Form? Machine Learning Improves Models of these Processes
Machine Learning offers New Insights and New Parameterization for the path from Drizzle Drops to Warm Rain
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.
Researchers enable real-time adjustments to communication among three remote nodes in a quantum network.
Fine roots grow dramatically faster in an experimentally warmed peatland
Computers learn from a combination of experimental and evolutionary data to enhance the function of useful proteins.
A new model predicts small-scale differences in methane emissions from tropical soils on a hillside during drought and recovery.
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.
Researchers develop a 2D tomography technique that will enable the search for Mach waves in the smallest droplets of quark-gluon plasma.
Two new technologies allow scientists to edit specific species and genes within complex laboratory bacterial communities.