Research Summaries

Bayesian statistical methods help improve the predictability of complex computational models in experimentally unknown research.

Experiments find increased temperatures and carbon dioxide rapidly altered peatland carbon stocks, highlighting peatlands’ vulnerability to climate change.

Nitrogen-9 has only two neutrons to its seven protons and decays to an alpha particle by emitting five of its protons in stages.

A new correction factor for predicting dissolution rates uses measurable geological properties in fractured media.

Fluxonium qubits can build cutting-edge quantum devices that will harness the potential of quantum computing.

Theoretical calculations and experimental data combine to reduce uncertainty in a key reaction rate in modelling high-energy solar neutrinos.

The Project 8 and He6-CRES collaborations use a new technique to set an upper limit on neutrino mass and prepare to test the nature of the weak force.

High resolution isotope analysis of the algal microbiome identifies ecological strategies not predicted by genome content.

FAIR (findable, accessible, interoperable, reusable) principles facilitate the use of large data sets by human and machine researchers.

Nuclear physicists have found the location of matter inside the proton that comes from the strong force - a fundamental force that holds protons together.