Researchers propose random pulse and probabilistic computing for better genetic circuit design and show how this framework can create circuits that can handle information in a way that is robust to noise, variability, and mismatched signal thresholds.
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The nonlinear mechanical properties of soft biological tissues and composites are poorly understood. Their strain stiffening under compression and shear is now found to be universal, and follows from the physics of the underlying biopolymer matrix.
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Researchers demonstrate a high-rate measurement device-independent #quantum key distribution system for inter-metropolitan links that can accurately estimate the mutual frequency offset between two compact lasers using quantum signal detection results.
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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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