Theoretical physicists routinely introduce fictitious particles and fields in their calculations, in view of聽completing a theory or simply to make it more elegant. A striking example concerns the magnetic monopole聽imagined ...
Topological charge-entropy scaling relation was proved in the kagome Chern magnet, a kind of magnet predicted to support intrinsic Chern quantum phases, according to a聽study published on聽Nature Communications.
On the big screen, in video games and in our imaginations, lightsabers flare and catch when they clash together. In reality, as in a laser light show, the beams of light go through each other, creating spiderweb patterns. ...
Scientists have produced the largest and most accurate virtual representation of the universe to date. An international team of researchers, led by the University of Helsinki, and including members from Durham University, ...
An advanced mathematical model that can describe high-energy interactions between light and matter has been developed by two RIKEN researchers and a collaborator. The approach could be extended to offer new insights in other ...
A Lancaster physicist has proposed a radical solution to the question of how a charged particle, such as an electron, responded to its own electromagnetic field.
Combining topological states of matter with strong electron correlation promises many exotic phenomena such as charge fractionalization, excitonic instability, and axionic excitation. Layered transition-metal pentatellurides ...
While conventional electronics relies on the transport of electrons, components that convey spin information alone may be many times more energy efficient. 麻豆淫院icists at the Technical University of Munich (TUM) and the Max ...
Researchers have used direct chemical vapor deposition (CVD) growth of wafer-scale, high-quality graphene on dielectrics for versatile applications. However, graphene synthesized this way has shown a polycrystalline film ...
The properties of a complex and exotic state of a quantum material can be predicted using a machine learning method created by a RIKEN researcher and a collaborator. This advance could aid the development of future quantum ...
