Fair Play for Data: Researchers Develop Practical FAIR Principles for Data Sets
FAIR (findable, accessible, interoperable, reusable) principles facilitate the use of large data sets by human and machine researchers.
FAIR (findable, accessible, interoperable, reusable) principles facilitate the use of large data sets by human and machine researchers.
A new experimental measure of Helium-4’s transition from its ground energy state to an excited state closes an apparent gap with theoretical predictions.
New insights reveal details of how strange matter forms.
Researchers design ultra-low radiation cables to reduce background noise for highly sensitive nuclear decay and dark matter detectors.
Finite geometry reveals fundamental properties of charged quantum systems.
The floating block method provides the tools to compute how quantum states overlap and how to build fast and accurate emulators of those systems.
An almost-bound isotope of oxygen undergoes four-neutron decay that challenges theory.
Settling a long-standing question, scientists have proven that antihydrogen falls downward in a first-ever direct experiment.
Plasmas with negative triangularity show reduced gradients that develop into instabilities, including under conditions relevant to fusion power plants.
Experiments find increased temperatures and carbon dioxide rapidly altered peatland carbon stocks, highlighting peatlands’ vulnerability to climate change.
AI reveals relationships between weather systems and cloud physics.
Voronoi tessellation meshes focus on sea ice areas of interest and reduce computer resource needs.