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Categories: Chemistry: Inorganic Chemistry, Computer Science: General

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Scientists have used a combination of scanning transmission electron microscopy (STEM) and computational modeling to get a closer look and deeper understanding of tantalum oxide. When this amorphous oxide layer forms on the surface of tantalum -- a superconductor that shows great promise for making the 'qubit' building blocks of a quantum computer -- it can impede the material's ability to retain quantum information. Learning how the oxide forms may offer clues as to why this happens -- and potentially point to ways to prevent quantum coherence loss.

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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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Oxidation can degrade the properties and functionality of metals. However, a research team recently found that severely oxidized metallic glass nanotubes can attain an ultrahigh recoverable elastic strain, outperforming most conventional super-elastic metals. They also discovered the physical mechanisms underpinning this super-elasticity. Their discovery implies that oxidation in low-dimension metallic glass can result in unique properties for applications in sensors, medical devices and other nanodevices.

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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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A team of researchers mapped out how flecks of 2D materials move in liquid -- knowledge that could help scientists assemble macroscopic-scale materials with the same useful properties as their 2D counterparts.

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Computer scientists found that email notifications to update passwords potentially yielded diminishing returns after three messages. They also found that a prompt to update passwords while users were trying to log in was effective for those who had ignored email reminders. Researchers also found that users whose jobs didn't require much computer use struggled the most with the update.

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Scientists have developed a new approach to machine learning -- a form of artificial intelligence -- to identify drugs that help minimize harmful scarring after a heart attack or other injuries.

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Engineers have demonstrated a system they've dubbed 'MadRadar' for fooling automotive radar sensors into believing almost anything is possible. The technology can hide the approach of an existing car, create a phantom car where none exists or even trick the radar into thinking a real car has quickly deviated from its actual course. And it can achieve this feat in the blink of an eye without having any prior knowledge about the specific settings of the victim's radar, making it the most troublesome threat to radar security to date.

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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 new system that brings together real-world sensing and virtual reality would make it easier for building maintenance personnel to identify and fix issues in commercial buildings that are in operation.

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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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At low enough temperatures, certain metals lose their electrical resistance and they conduct electricity without loss. This effect of superconductivity is known for more than hundred years and is well understood for so-called conventional superconductors. More recent, however, are unconventional superconductors, for which it is unclear yet how they work.

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Researchers have outlined ambitious targets to help deliver a sustainable and net zero plastic economy. The authors argue for a rethinking of the technical, economic, and policy paradigms that have entrenched the status-quo, one of rising carbon emissions and uncontrolled pollution.

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To find poison ivy before it finds you, scientists have published a new study in which they show how they used artificial intelligence to confirm that an app can identify poison ivy. The app is not yet commercially available, nor is there a timetable for it to be available.

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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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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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Not all plastics are created the same, and some last longer in the ocean than others. Scientists have been working for years to quantify the environmental lifetimes of a wide range of plastic goods to see which have the shortest and longest lifespans in the ocean. To determine what plastics persist in the ocean, the team tests different products in large tanks that recreate the natural ocean environment.

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Global warming continues to pose a threat to human society and the ecological systems, and carbon dioxide accounts for the largest proportion of the greenhouse gases that dominate climate warming. To combat climate change and move towards the goal of carbon neutrality, researchers have developed a durable, highly selective and energy-efficient carbon dioxide (CO2) electroreduction system that can convert CO2 into ethylene for industrial purposes to provide an effective solution for reducing CO2 emissions.

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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.