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Categories: Energy: Nuclear, Physics: General

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Many people are familiar with facial recognition systems that unlock smartphones and game systems or allow access to our bank accounts online. But the current technology can require boxy projectors and lenses. Now, researchers report on a sleeker 3D surface imaging system with flatter, simplified optics. In proof-of-concept demonstrations, the new system recognized the face of Michelangelo's David just as well as an existing smartphone system.

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Researchers have succeeded in generating a logical qubit from a single light pulse that has the inherent capacity to correct errors.

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Researchers recently succeeded in producing a highly durable time crystal that lived millions of times longer than could be shown in previous experiments. By doing so, they have corroborated an extremely interesting phenomenon that Nobel Prize laureate Frank Wilczek postulated around ten years ago and which had already found its way into science fiction movies.

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Researchers have developed a transmissive thin scintillator using perovskite nanocrystals, designed for real-time tracking and counting of single protons. The exceptional sensitivity is attributed to biexcitonic radiative emission generated through proton-induced upconversion and impact ionization.

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Researchers have gained new insights into the development of the light-induced ferroelectric state in SrTiO3. They exposed the material to mid-infrared and terahertz frequency laser pulses and found that the fluctuations of its atomic positions are reduced under these conditions. This may explain why the dipolar structure is more ordered than in equilibrium and why the laser pulses induce a ferroelectric state in the material.

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Researchers describe the discovery of a new method that transforms everyday materials like glass into materials scientists can use to make quantum computers.

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A joint research team has successfully induced polarization and polarity in metallic substances.

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Carbon nanostructures could become easier to design and synthesize thanks to a machine learning method that predicts how they grow on metal surfaces. The new approach will make it easier to exploit the unique chemical versatility of carbon nanotechnology.

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Researchers have developed a pioneering method to precisely manipulate ultrafast spin waves in antiferromagnetic materials using tailored light pulses.

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An international team has developed a new method to make and manipulate a widely studied class of high-temperature superconductors. This technique should pave the way for the creation of unusual forms of superconductivity in previously unattainable materials.

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Every fluid -- from Earth's atmosphere to blood pumping through the human body -- has viscosity, a quantifiable characteristic describing how the fluid will deform when it encounters some other matter. If the viscosity is higher, the fluid flows calmly, a state known as laminar. If the viscosity decreases, the fluid undergoes the transition from laminar to turbulent flow. The degree of laminar or turbulent flow is referred to as the Reynolds number, which is inversely proportional to the viscosity. However, this Reynolds similitude does not apply to quantum superfluids. A researcher has theorized a way to examine the Reynolds similitude in superfluids, which could demonstrate the existence of quantum viscosity in superfluids.

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Nanoclusters (NCs) of transition metals like cobalt or nickel have widespread applications in drug delivery and water purification, with smaller NCs exhibiting improved functionalities. Downsizing NCs is, however, usually challenging. Now, scientists have demonstrated functional NC formation with atomic-scale precision. They successfully grew cobalt NCs on flat copper surfaces using molecular arrays as traps. This breakthrough paves the way for advancements like single-atom catalysis and spintronics miniaturization.

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Scientists have discovered a first-of-its-kind material, a 3D crystalline metal in which quantum correlations and the geometry of the crystal structure combine to frustrate the movement of electrons and lock them in place.

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Artificial intelligence using neural networks performs calculations digitally with the help of microelectronic chips. Physicists have now created a type of neural network that works not with electricity but with so-called active colloidal particles.The researchers describe how these microparticles can be used as a physical system for artificial intelligence and the prediction of time series.

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The branch of mathematics known as topology has become a cornerstone of modern physics thanks to the remarkable -- and above all reliable -- properties it can impart to a material or system. Unfortunately, identifying topological systems, or even designing new ones, is generally a tedious process that requires exactly matching the physical system to a mathematical model. Researchers have demonstrated a model-free method for identifying topology, enabling the discovery of new topological materials using a purely experimental approach.

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Emerging research suggests it may be easier to use fusion as a power source if liquid lithium is applied to the internal walls of the device housing the plasma. Past experiments studied solid lithium coatings and found they could enhance a plasma. The researchers were pleased they could yield similar results with liquid lithium, as it's better suited for use in a large-scale tokamak.

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Certain materials have desirable properties that are hidden and scientists can use light to uncover these properties. Researchers have used an advanced optical technique, based on terahertz time-domain spectroscopy, to learn more about a quantum material called Ta2NiSe5 (TNS).

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Researchers grew a twisted multilayer crystal structure for the first time and measured the structure's key properties. The twisted structure could help researchers develop next-generation materials for solar cells, quantum computers, lasers and other devices.

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Two research groups design a plasma (an ionized gas) reactor maintained by microwaves that makes it possible to decontaminate waters with high concentrations of dye.

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A new advancement in theoretical physics could, one day, help engineers develop new kinds of computer chips that might store information for longer in very small objects.