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Categories: Chemistry: Organic Chemistry, Engineering: Robotics Research

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Researchers are using semiconductors to harvest and convert the sun's energy into high-energy compounds that have the potential to produce environmentally-friendly fuels.

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Among the many chemicals we use every day, ammonia is one of the worst for the atmosphere. The nitrogen-based chemical used in fertilizer, dyes, explosives and many other products ranks second only to cement in terms of carbon emissions, due to the high temperatures and energy needed to manufacture it. But by improving on a well-known electrochemical reaction and orchestrating a 'symphony' of lithium, nitrogen and hydrogen atoms, engineers have developed a new ammonia production process that meets several green targets.

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Analysing the diversity of organic compounds dissolved in freshwater provides a reliable measure of ecosystem health, say scientists.

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A research team has addressed the long-standing challenge of creating artificial olfactory sensors with arrays of diverse high-performance gas sensors. Their newly developed biomimetic olfactory chips (BOC) are able to integrate nanotube sensor arrays on nanoporous substrates with up to 10,000 individually addressable gas sensors per chip, a configuration that is similar to how olfaction works for humans and other animals.

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What would you do if you walked up to a robot with a human-like head and it smiled at you first? You'd likely smile back and perhaps feel the two of you were genuinely interacting. But how does a robot know how to do this? Or a better question, how does it know to get you to smile back?

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Researchers have successfully transformed CO2 into methanol by shining sunlight on single atoms of copper deposited on a light-activated material, a discovery that paves the way for creating new green fuels.

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Engineers aim to give robots a bit of common sense when faced with situations that push them off their trained path, so they can self-correct after missteps and carry on with their chores. The team's method connects robot motion data with the common sense knowledge of large language models, or LLMs.

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A new way to make an important ingredient for plastics, adhesives, carpet fibers, household cleaners and more from natural gas could reduce manufacturing costs in a post-petroleum economy by millions of dollars, thanks to a new chemical reactor.

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Scientists have demonstrated the selective conversion of carbon dioxide (CO2) into methanol using a cascade reaction strategy. The two-part process is powered by sunlight, occurs at room temperature and at ambient pressure, and employs a recyclable organic reagent that's similar to a catalyst found in natural photosynthesis.

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A team of researchers has developed a universal approach to controlling robotic exoskeletons that requires no training, no calibration, and no adjustments to complicated algorithms. Instead, users can don the 'exo' and go. Their system uses a kind of artificial intelligence called deep learning to autonomously adjust how the exoskeleton provides assistance, and they've shown it works seamlessly to support walking, standing, and climbing stairs or ramps.

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If it walks like a particle, and talks like a particle... it may still not be a particle. A topological soliton is a special type of wave or dislocation which behaves like a particle: it can move around but cannot spread out and disappear like you would expect from, say, a ripple on the surface of a pond. Researchers now demonstrate the atypical behavior of topological solitons in a robotic metamaterial, something which in the future may be used to control how robots move, sense their surroundings and communicate.

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Once thrown away, disposable diapers and sanitary pads can take hundreds of years to decompose, because they contain plastics and other synthetic polymers. But now, researchers are replacing these materials with components made from protein biomass that is often discarded. They are sustainable and biodegradable, and they could potentially allow future diapers and pads to be flushed down a toilet or used as fertilizer.

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At first glance, Rabih Al-Kaysi's molecular motors look like the microscopic worms you'd see in a drop of pond water. But these wriggling ribbons are not alive; they're made from crystallized molecules that perform coordinated movements when exposed to light. With continued development, these tiny machines could be used as drug-delivery robots or engineered into arrays that direct the flow of water around submarines.

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Water pollution from dyes used in textile, food, cosmetic and other manufacturing is a major ecological concern with industry and scientists seeking biocompatible and more sustainable alternatives to protect the environment. A new study has discovered a novel way to degrade and potentially remove toxic organic chemicals including azo dyes from wastewater, using a chemical photocatalysis process powered by ultraviolet light.

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Researchers have made very fast and very precise images of excitons -- in fact, accurate to one quadrillionth of a second and one billionth of a meter. This understanding is essential for developing more efficient materials with organic semiconductors.

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A new report uncovers how hydrogen gas, the energy of the future, provided energy in the past, at the origin of life 4 billion years ago. Hydrogen gas is clean fuel. It burns with oxygen in the air to provide energy with no CO2. Hydrogen is a key to sustainable energy for the future. Though humans are just now coming to realize the benefits of hydrogen gas (H2 in chemical shorthand), microbes have known that H2 is good fuel for as long as there has been life on Earth. Hydrogen is ancient energy.

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Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that still resists artificial intelligence (AI). A team has succeeded in modelling an artificial neural network capable of this cognitive prowess. After learning and performing a series of basic tasks, this AI was able to provide a linguistic description of them to a 'sister' AI, which in turn performed them.

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Engineers propose a new quantitative framework to account for and predict the impact of temperature on the curing speed of platinum-catalyzed silicone elastomers. The findings could maximize throughput and minimize waste in the manufacturing of components for soft robotics and wearables.

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In a first for the condensate field, researchers have figured out how nucleolar sub-structures are assembled. This organization gives rise to unique pH profiles within nucleoli, which they measured and compared with the pH of nearby non-nucleolar condensates including nuclear speckles and Cajal bodies.

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A printable organic polymer that assembles into chiral structures when printed has enabled researchers to reliably measure the amount of charge produced in spin-to-charge conversion within a spintronic material at room temperature.