MicroBooNE, Machine Learning, and Liquid Argon
The MicroBooNE experiment demonstrates the use of machine learning to interpret images made by a liquid-argon particle detector.
The MicroBooNE experiment demonstrates the use of machine learning to interpret images made by a liquid-argon particle detector.
New crime scene investigation technique offers a hard look at the traces that particles leave before fleeing the scene.
Scientists developed a method to better distinguish the tracks that particles leave behind in liquid argon.
Findings could rewrite textbooks about molecular structure for solvent ubiquitous in chemistry and biology.
Recovery of more than 1500 microbial genomes shines light on how carbon is metabolized as permafrost thaws.
The genetics of viruses living along a permafrost thaw gradient may help scientists better predict the pace of climate change.
Widespread fracturing during lake drainage triggers vertical shafts to form that affect the Greenland Ice Sheet.
Scientists discover key types of microbes that degrade organic matter and release carbon dioxide and methane into the atmosphere.
Identified genes involved in plant cell wall polysaccharide production and restructuring could aid in engineering bioenergy crops.
Ultrafine aerosol particles produce bigger storm clouds and more precipitation than larger aerosols in pristine conditions.
The bacteria from cows and other ruminants’ digestive systems could provide insights for converting corn stover and other biomass into fuels.
New design coats molecular components and dramatically improves stability under tough, oxidizing conditions.