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Categories: Chemistry: General, Computer Science: Artificial Intelligence (AI)

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By using experimental electrochemical analyses, mass spectrometry, and computational quantum chemistry modeling, the researchers created an 'atomic-scale storyline' to explain how ozone is generated on NATO electrocatalysts. They identified that some of the nickel in NATO is probably leaching out of the electrodes via corrosion, and these nickel atoms, now floating in the solution near the catalyst, can promote chemical reactions that eventually generate ozone.

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Why 3,000 bars are needed to take a comprehensive look at a protein: Researchers present a new high-pressure spectroscopy method to unravel the properties of proteins' native structures.

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The direction in which spin information is injected into chiral materials affects its ability to pass through them. These chiral 'gateways' could be used to design energy-efficient spintronic devices for data storage, communication and computing.

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Scientists have demonstrated that small changes in the isotopic content of thin semiconductor materials can influence their optical and electronic properties, possibly opening the way to new and advanced designs with the semiconductors.

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A stretchy electronic skin could equip robots and other devices with the same softness and touch sensitivity as human skin, opening up new possibilities to perform tasks that require a great deal of precision and control of force.

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On an October morning in 2023, a chemical explosion detonated in a tunnel under the Nevada desert was the launch of the next set of experiments by the National Nuclear Security Administration, with the goal to improve detection of low-yield nuclear explosions around the world.

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A research team has developed a fentanyl sensor that is six orders of magnitude more sensitive than any electrochemical sensor for the drug reported in the past five years. The portable sensor can also tell the difference between fentanyl and other opioids.

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Scientists have developed lubricant additives that protect both water turbine equipment and the surrounding environment.

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Charge-recharge cycling of lithium-superrich iron oxide, a cost-effective and high-capacity cathode for new-generation lithium-ion batteries, can be greatly improved by doping with readily available mineral elements.

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Researchers have successfully leveraged robotic assistance in the manufacture of wind turbine blades, allowing for the elimination of difficult working conditions for humans and the potential to improve the consistency of the product.

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New catalyst is made from an inexpensive, abundant metal and table sugar. Catalyst converts carbon dioxide (CO2) into carbon monoxide, a building block for producing a variety of useful chemicals including syngas. With recent advances in carbon capture technologies, post-combustion carbon capture is becoming a plausible option to help tackle the global climate change crisis. But how to handle the captured carbon remains an open-ended question. The new catalyst potentially could provide one solution for disposing the potent greenhouse gas by converting it into a more valuable product.

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New algorithm encourages robots to move more randomly to collect more diverse data for learning. In tests, robots started with no knowledge and then learned and correctly performed tasks within a single attempt. New model could improve safety and practicality of self-driving cars, delivery drones and more.

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Many natural substances possess interesting characteristics, and can form the basis of new active compounds in medicine. Terpenes, for example, are a group of substances, some of which are already used in therapies against cancer, malaria or epilepsy. They are found as fragrances in cosmetics or as flavorings in food, and form the basis of new medications: Terpenes are natural substances that occur in plants, insects and sea sponges. They are difficult to produce synthetically. However, chemists are now introducing a new method of synthesis.

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Researchers have developed an AI method that improves the identification of toxic chemicals -- based solely on knowledge of the molecular structure. The method can contribute to better control and understanding of the ever-growing number of chemicals used in society, and can also help reduce the amount of animal tests.

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Chemists have created a highly reactive chemical compound that has eluded scientists for more than 120 years. The discovery could lead to new drug treatments, safer agricultural products, and better electronics.

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As the world faces the loss of a staggering number of species of animals and plants to endangerment and extinction, one scientist has an urgent message: Chemists and pharmacists should be key players in species conservation efforts.

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Evapotranspiration (ET) includes evaporation from soil and open water pools such as lakes, rivers, and ponds, as well as transpiration from plant leaves. The difference between precipitation and ET indicates the water balance available for societal needs, including agricultural and industrial production. However, measuring ET is challenging. A new study presents a computer model that uses artificial intelligence (AI) for ET prediction based on remote sensing estimates.

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Organic electrochemical transistors (OECTs) allow current to flow in devices like implantable biosensors. But scientists long knew about a quirk of OECTs that no one could explain: When an OECT is switched on, there is a lag before current reaches the desired operational level. When switched off, there is no lag. Current drops immediately. Researchers report that they have discovered the reason for this activation lag, and in the process are paving the way to custom-tailored OECTs for a growing list of applications in biosensing, brain-inspired computation and beyond.

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Researchers have developed a chemical process using plasma that could create sustainable jet fuel from methane gas emitted from landfills, potentially creating a low-carbon aviation industry.

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One group commonly misunderstood by voice technology are individuals who speak African American English, or AAE. Researchers designed an experiment to test how AAE speakers adapt their speech when imagining talking to a voice assistant, compared to talking to a friend, family member, or stranger. The study tested familiar human, unfamiliar human, and voice assistant-directed speech conditions by comparing speech rate and pitch variation. Analysis of the recordings showed that the speakers exhibited two consistent adjustments when they were talking to voice technology compared to talking to another person: a slower rate of speech with less pitch variation.