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Categories: Chemistry: Inorganic Chemistry, Offbeat: Computers and Math

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Think of it as recycling on the nanoscale: a tantalizing electrochemical process that can harvest carbon before it becomes air pollution and restructure it into the components of everyday products. The drive to capture airborne carbon dioxide from industrial waste and make it into fuel and plastics is gaining momentum after a team of researchers uncovered precisely how the process works and where it bogs down.

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An international research team has succeeded in controlling the chirality of individual molecules through structural isomerization. The team also succeeded in synthesizing highly reactive diradicals with two unpaired electrons. These achievements were made using a scanning tunneling microscope probe at low temperatures.

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Lithium-sulfur batteries have exceptional theoretical capacity and performance in combination with an element in abundant supply. But the intricate reaction mechanism, particularly during discharge, has been challenging to solve. Researchers have identified the key pathways to a complex sulfur reduction reaction that leads to energy loss and reduced battery life span. The study's findings establish the whole reaction network for the first time and offer insight into electrocatalyst design for improved batteries.

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A crystals expert has published an answer to how crystals are formed and how molecules become a part of them, solving an age-old mystery about crystal formation.

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Research involving has shown that a 'swarm' of more than 100 autonomous ground and aerial robots can be supervised by one person without subjecting the individual to an undue workload.

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Researchers pioneer dynamic manipulation and the generation principles of trion at the nanoscale using tip-enhanced cavity-spectroscopy.

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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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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 been skeptical that recent AI advances can tell us much about human learning and development. To address this, a team training an AI model, not on massive data, but on the input that a single child receives. Their findings showed that the model could learn a substantial number of words and concepts using limited slices of what the child experienced.

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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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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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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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For decades scientists have been trying to solve Feynman's Sprinkler Problem: How does a sprinkler running in reverse work? Through a series of experiments, a team of mathematicians has figured out how flowing fluids exert forces and move structures, thereby revealing the answer to this long-standing mystery.

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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.