For the first time, scientists have observed a collection of particles, also known as a quasiparticle, that's massless when moving one direction but has mass in the other direction. The quasiparticle, called a semi-Dirac ...
Moir茅 superlattices are materials consisting of two layers stacked on top of each other with either a small rotational misalignment or a lattice mismatch between them. The Kondo lattice model, on the other hand, describes ...
A central aim of the ATLAS Higgs physics program is to measure, with increasing precision, the strength of interactions of the Higgs boson with elementary fermions and bosons.
A new study led by Rice University's Qimiao Si has unveiled a new class of quantum critical metal, shedding light on the intricate interactions of electrons within quantum materials. Published in 麻豆淫院ical Review Letters on ...
Moir茅 superlattices, structures that arise when two layers of two-dimensional (2D) materials are overlaid with a small twist angle, have been the focus of numerous physics studies. This is because they have recently been ...
A study coordinated by the University of Trento with the University of Chicago proposes a generalized approach to the interactions between electrons and light. In the future, it may contribute to the development of quantum ...
A 3D quantum spin liquid has been discovered in the vicinity of a member of the langbeinite family. The material's specific crystalline structure and the resulting magnetic interactions induce an unusual behavior that can ...
New research using neural networks, a form of brain-inspired AI, proposes a solution to the tough challenge of modeling the states of molecules.
The first materials scientists might have been early humans who鈥攖hrough trial-and-error experiments鈥攄iscovered the first "cutting-edge" technologies. They found that the best arrowheads and other tools could be made from ...
Over the past decades, computer scientists have developed various computing tools that could help to solve challenges in quantum physics. These include large-scale deep neural networks that can be trained to predict the ground ...
