Physics
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​​56-qubit computer provides truly random number generation

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​​Moiré patterns and flat bands usually occur in multilayer materials with a small interlayer twist angle, but this can cause detrimental lattice reconstruction. Now, flat bands are shown in a bilayer with large twist angle and structural rigidity.

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​​Researchers have shown that the point at which ketchup, toothpaste, and other complex fluids undergo a solid-to-liquid transition can be predicted from the properties of the substance while it is still a solid.

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​​Using radio-frequency #spectroscopy and #interferometry, researchers analyze the dynamics of mobile impurities injected in a homogeneous Bose-Einstein condensate and uncover simple scaling laws that govern impurity dynamics at all interaction strengths.

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​​Researchers use scanning tunneling microscopy to selectively excite the electroluminescence of individual zinc-phthalocyanine molecules and find that the molecules emit photons in a cascaded manner, indicating a correlated two-photon process.

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​​Ultrasensitive nanocalorimeter measurements of yttrium calcium oxyborate’s specific heat in magnetic fields up to 41.5 tesla provide #thermodynamic evidence for a type of quantum spin liquid, with massless Dirac spinons found at a magnetization plateau.

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​​#Autism and #Adhd display distinct patterns of brain connectivity, indicating unique neural signatures despite frequent co-occurrence. These differences may inform future diagnostic and therapeutic approaches.

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​​#A new supercomputer #Simulation provides the most detailed model yet of merging #Neutron stars, tracing their evolution into black holes and predicting multi-messenger signals and jet formation.

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​​Researchers formulate an efficiently implementable multi-scale entanglement renormalization ansatz model of AdS/CFT and show that the resulting 2+1D system exhibits striking features of Einstein gravity, including gravitational attraction of excitations.

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​​Researchers developed a framework to classify atomic defects in the magnetic quasi-1D semiconductor CrSBr — a promising material for #quantum technologies and #spintronics — using a #MachineLearning workflow with atomic-resolution electron microscopy.

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