Machine learning puts a new spin on spin models

Researchers from Tokyo Metropolitan University have used machine learning to analyze spin models, which are used in physics to study phase transitions. Previous work showed that an image/handwriting classification model could ...

Symmetry-enforced three-dimension Dirac phononic crystals

Dirac semimetals are critical states of topologically distinct phases. Such gapless topological states have been accomplished by a band-inversion mechanism, in which the Dirac points can be annihilated pairwise by perturbations ...

Water governance: could less sometimes be more?

Researchers from UNIGE and UNIL analysed water governance in six European countries from 1750 onwards. They demonstrated that there has been an inflationary trend in the number of regulations, and that—far from improving ...

Decoding social media engagement with celebrities

Indian Prime Minister Narendra Modi engaged celebrities effectively on social media in the run-up to the 2014 general elections in India to raise his visibility and help his electoral ambitions, a new University of Michigan ...