Thanks to researchers from The University of Queensland, we now know with much greater certainty the nuclear magnetic moments of francium atoms.
Condensed Matter
Aug 5, 2020
0
148
We are changing the Earth system at a unprecedented speed without knowing the consequences in detail. Increasingly detailed, physics-based models are improving steadily, but an in-depth understanding of persisting uncertainties ...
Earth Sciences
Jul 31, 2020
1
71
The best-known particle in the lepton family is the electron, a key building block of matter and central to our understanding of electricity. But the electron is not an only child. It has two heavier siblings, the muon and ...
General Physics
Jul 30, 2020
2
115
Scientists at CERN have reported on their first significant evidence for a process predicted by theory, paving the way for searches for evidence of new physics in particle processes that could explain dark matter and other ...
General Physics
Jul 28, 2020
9
27685
A summer internship in Bilbao, Spain, has led to a paper in the journal Physical Review Letters for Jack Mayo, a Master's student at the University of Groningen, the Netherlands. He has helped to create a universal model ...
Quantum Physics
Jun 24, 2020
0
297
In their model simulations, climate researchers always have to make compromises. Even with the largest computers available worldwide, they can only reproduce the real world to a limited extent. Depending on the application, ...
Earth Sciences
Jun 23, 2020
0
2
It's generally recognized that differences in background and education cement class differences. It is less clear when and under what circumstances individual psychological forces can drive an initially homogenous social ...
Social Sciences
Jun 17, 2020
0
58
Visible matter—everything from pollen to stars and galaxies—accounts for roughly 15% of the total mass of the universe. The remaining 85% is made of something entirely different from things we can touch and see: dark ...
General Physics
Jun 15, 2020
15
616
Resistance to antibiotics has become a serious public health problem. Hospital infections, prostheses or surgical implants that become infected and do not respond to treatment are a real challenge to the research community, ...
Bio & Medicine
Jun 9, 2020
0
10
Skoltech scientists and their industry colleagues have found a way to use machine learning to accurately predict rock thermal conductivity, a crucial parameter for enhanced oil recovery. The research, supported by Lukoil-Engineering ...
Earth Sciences
Jun 8, 2020
0
3
