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Categories: Computer Science: General, Physics: General

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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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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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An interdisciplinary team of researchers has developed a soft implantable device with dozens of sensors that can record single-neuron activity in the brain stably for months.

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People who were more skeptical of human-caused climate change or the Black Lives Matter movement who took part in conversation with a popular AI chatbot were disappointed with the experience but left the conversation more supportive of the scientific consensus on climate change or BLM. This is according to researchers studying how these chatbots handle interactions from people with different cultural backgrounds.

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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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Computer scientists have invented a highly effective, yet incredibly simple, algorithm to decide which items to toss from a web cache to make room for new ones.

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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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From misinformation and invisible cyber attacks, to irresponsible AI that could cause events involving multiple deaths, expert futurists have forecast how rapid technology changes may shape our world by 2040.

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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.

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Scientists have developed a universal method for producing a wide variety of designed metallic and semiconductor 3D nanostructures -- the potential base materials for next-generation semiconductor devices, neuromorphic computing, and advanced energy applications. The new method, which uses a 'hacked' form of DNA that instructs molecules to organize themselves into targeted 3D patterns, is the first of its kind to produce robust nanostructures from multiple material classes.

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Researchers have presented a new study on cyberattack risks to offshore wind farms in Glasgow, United Kingdom. They looked specifically at wind farms that use voltage-source-converter high-voltage direct-current (VSC-HVDC) connections, which are rapidly becoming the most cost-effective solution to harvest offshore wind energy around the world. They found that their complex, hybrid-communication architecture presents multiple access points for cyberattacks.

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New research conducted by nuclear physicists is using a method that connects theories of gravitation to interactions among the smallest particles of matter. The result is insight into the strong force, a powerful mediator of particle interactions in the subatomic realm. The research has revealed, for the first time, a snapshot of the distribution of the shear strength of the strong force inside the proton -- or how strong an effort must be to overcome the strong force to move an object it holds in its grasp. At its peak, the nuclear physicists found that a force of over four metric tons would be required to overcome the binding power of the strong force.

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An international team of researchers has disproved a previously held assumption about the impact of multiphoton components in interference effects of thermal fields (e.g. sunlight) and parametric single photons (generated in non-linear crystals).