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Categories: Chemistry: Inorganic Chemistry, Computer Science: General

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A new study describes a chemical reaction that can convert Styrofoam into a high-value conducting polymer known as PEDOT:PSS. Researchers also noted that the upgraded plastic waste can be successfully incorporated into functional electronic devices, including silicon-based hybrid solar cells and organic electrochemical transistors.

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Chemists have been working to synthesize high-value materials from waste molecules for years.

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A new essay explores which conditions must be met for consciousness to exist. At least one of them can't be found in a computer.

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A new camera could prevent companies from collecting embarrassing and identifiable photos and videos from devices like smart home cameras and robotic vacuums. It's called PrivacyLens.

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Although devices such as standing desks have been found to alleviate physical symptoms and increase worker productivity, questions remain regarding the best use of the primary types of workstations -- stand-biased, sit-stand or traditional -- for increasing workers' physical activity and preventing health problems. To answer these questions, researchers measured the computer usage and activity levels of 61 office workers for 10 days to evaluate any discomfort and develop possible remedies.

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Have you ever wondered how insects are able to go so far beyond their home and still find their way? The answer to this question is not only relevant to biology but also to making the AI for tiny, autonomous robots. Drone-researchers felt inspired by biological findings on how ants visually recognize their environment and combine it with counting their steps in order to get safely back home. They have used these insights to create an insect-inspired autonomous navigation strategy for tiny, lightweight robots. It allows such robots to come back home after long trajectories, while requiring extremely little computation and memory (0.65 kiloByte per 100 m). In the future, tiny autonomous robots could find a wide range of uses, from monitoring stock in warehouses to finding gas leaks in industrial sites.

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Researchers have developed soft, stretchable 'jelly batteries' that could be used for wearable devices or soft robotics, or even implanted in the brain to deliver drugs or treat conditions such as epilepsy.

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An international team of physicists has proven new theorems in quantum mechanics that describe the 'energy landscapes' of collections of quantum particles. Their work addresses decades-old questions, opening up new routes to make computer simulation of materials much more accurate. This, in turn, may help scientists design a suite of materials that could revolutionize green technologies.

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Researchers have demonstrated that the layered multiferroic material nickel iodide (NiI2) may be the best candidate yet for devices such as magnetic computer memory that are extremely fast and compact. Specifically, they found that NiI2 has greater magnetoelectric coupling than any known material of its kind.

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Carbon capture is a promising approach for mitigating carbon dioxide (CO2) emissions. Different materials have been used to capture CO2 from industrial exhaust gases. Scientists developed hybrid CO2 capture materials containing sodium carbonate and nanocarbon prepared at different temperatures, tested their performance, and identified the optimal calcination temperature condition. They found that the hybrid material exhibits and maintains high CO2 capture capacity for multiple regeneration cycles at a lower temperature, making it cost- and energy-effective.

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Physicists are developing quantum microscopy which enables them for the first time to record the movement of electrons at the atomic level with both extremely high spatial and temporal resolution. Their method has the potential to enable scientists to develop materials in a much more targeted way than before.

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Rechargeable solid-state lithium batteries are an emerging technology that could someday power cell phones and laptops for days with a single charge. Offering significantly enhanced energy density, they are a safer alternative to the flammable lithium-ion batteries currently used in consumer electronics -- but they are not environmentally friendly. Current recycling methods focus on the limited recovery of metals contained within the cathodes, while everything else goes to waste.

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Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network even closer to the actual human brain may make it more reliable, according to the researchers.

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This new concept could allow the needs of previously separate industries to be combined: the production of hydrogen and the production of fertilizer.

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Researchers grew crystals containing actinium and illuminated them with X-rays to learn how the radioactive metal binds with other elements. That information could help design better cancer treatments.

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A new technique enables huge machine-learning models to efficiently generate more accurate quantifications of their uncertainty about certain predictions. This could help practitioners determine whether to trust the model when it is deployed in real-world settings.

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Researchers have successfully developed an environmentally friendly, microspherical fluorescent material primarily made from citric acid. These microbeads emit various colors of light depending on the illuminating light and the size of the beads, which suggests a wide range of applications. Furthermore, the use of plant-derived materials allows for low-cost and energy-efficient synthesis.

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Scientists have developed a tiny 'claw machine' that is able to pick up and drop a marble-sized ball in response to exposure to chemical vapors. The findings point to a technique that can enable soft actuators--the parts of a machine that make it move--to perform multiple tasks without the need for additional costly materials. While existing soft actuators can be 'one-trick ponies' restricted to one type of movement, this novel composite film contorts itself in different ways depending on the vapor that it is exposed to.

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Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. In a new paper, the researchers have demonstrated a method much simpler than previous approaches.

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Scientists have created a computer program that 'paints' the structure of molecules in the style of famous Dutch artist, Piet Mondrian. Researchers are opening eyes and minds to the beauty of molecular structure, as well as posing new questions about the form and function of the molecules themselves.