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.
Element-selective method reveals interfacial properties of materials used for water purification, catalysis, energy conversion, and more.
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.
The data system will allow for more detailed, consistent, and up-to-date global emissions trends that will aid in understanding aerosol effects.
Scientists discover key types of microbes that degrade organic matter and release carbon dioxide and methane into the atmosphere.
Researchers can precisely study how different genes affect key properties in a yeast used industrially to produce fuel and chemicals.
Identified genes involved in plant cell wall polysaccharide production and restructuring could aid in engineering bioenergy crops.
