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Categories: Chemistry: Inorganic Chemistry, Energy: Nuclear

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Researchers have revealed an innovative approach to track individual molecule dynamics within nanofluidic structures, illuminating their response to molecules in ways never before possible.

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A main crux of neuroscience is learning how our senses translate light into sight, sound into hearing, food into taste, and texture into touch. Smell is where these sensory relationships get more complex and perplexing. To address this question, a research team are investigating how airborne chemicals connect to odor perception in the brain. They discovered that a machine-learning model has achieved human-level proficiency at describing, in words, what chemicals smell like.

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By controlling the arrangement of multiple inorganic and organic layers within crystals using a novel technique, researchers have shown they can control the energy levels of electrons and holes (positive charge carriers) within a class of materials called perovskites. This tuning influences the materials' optoelectronic properties and their ability to emit light of specific energies, demonstrated by their ability to function as a source of lasers.

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A team of researchers addressed the question: what happens to a Ga-promoted Cu surface under reaction conditions required for the synthesis of methanol? They found complex structural transformations of this bimetallic catalyst that might change the common view on the catalytically active surface structure.

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Researchers have been able to substantially improve photoclick chemistry. They were able to boost the reactivity of the photoclick compound in the popular PQ-ERA reaction through strategic molecular substitution. They now report a superb photoreaction quantum yield, high reaction rates and notable oxygen tolerance.

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Machine learning model provides quick method for determining the composition of solid chemical mixtures using only photographs of the sample.

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The neutron-rich oxygen isotopes oxygen-27 and oxygen-28 exist as very short-lived resonances, report scientists based on the first observation of their decay into oxygen-24 and three and four neutrons, respectively. Notably, the oxygen-28 nucleus is found not to be 'doubly magic' as expected in the standard shell-model picture. This study provides valuable insights into the nuclear structure.

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Researchers have developed a miniature battery that could be used to power tiny devices integrated into human tissues. The design uses an ionic gradient across a chain of droplets -- inspired by how electric eels generate electricity. The device was able to regulate the biological activity of human neurons. This could open the way to the development of tiny bio-integrated devices, with a range of applications in biology and medicine.

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An organometallic capsule that can reversibly assemble and disassemble in response to chemical stimuli was recently developed by chemists. Comprising ferrocene-based bent amphiphiles, this new capsule can act as a host for various types of guest molecules, such as electron acceptors and dyes. Thanks to the controllable release of its cargo, the capsule would find applications in catalysis, medicine, and biotechnology.

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Methylcyclohexane is very promising as a hydrogen carrier that can safely and efficiently transport and store hydrogen. However, the dehydrogenation process using catalysts has issues due to its durability and large energy loss. Recently, researchers have succeeded in using solid oxide fuel cells to generate electricity directly from methylcyclohexane and recover toluene for reuse. This research is expected to not only reduce energy requirements but also explore new chemical synthesis by fuel cells.

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Researchers have implemented a quantum-based method to observe a quantum effect in the way light-absorbing molecules interact with incoming photons. Known as a conical intersection, the effect puts limitations on the paths molecules can take to change between different configurations. The observation method makes use of a quantum simulator, developed from research in quantum computing, and offers an example of how advances in quantum computing are being used to investigate fundamental science.

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Scientists have developed a new method for detecting mid-infrared (MIR) light at room temperature using quantum systems.

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Using a trapped-ion quantum computer, the research team witnessed the interference pattern of a single atom caused by a 'conical intersection'. Conical intersections are known throughout chemistry and are vital to rapid photo-chemical processes such as light harvesting in human vision or photosynthesis.

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Researchers have made a significant breakthrough in the field of asymmetric synthesis of beta-lactams, which are prominent in bioactive compounds. Their innovative approach employs nickel and hydrocarbon sources that are abundant on Earth to access value-added beta-lactam products. The employment of nickel-hydride catalysis and alkenyl dioxazolone derivatives gives rise to the selective formation of four-membered lactam products.

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A team of chemists have developed a novel concept in which a mixture of molecules that behave like mirror images is converted to a single form. To this end, they use light as external energy source. The conversion is relevant e.g. for the preparation of drugs.

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A research group has established key early steps in the conversion of aromatic molecules, a major constituent of traffic and other urban volatile emissions, into aerosol. Their findings increase understanding of the chemical processes that degrade urban air quality and influence climate change.

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Researchers have designed a new type of quantum computer that uses fermionic atoms to simulate complex physical systems. The processor uses programmable neutral atom arrays and is capable of simulating fermionic models in a hardware-efficient manner using fermionic gates. The team demonstrated how the new quantum processor can efficiently simulate fermionic models from quantum chemistry and particle physics.

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If coal and natural gas power generation were 2% more efficient, then, every year, there could be 460 million fewer tons of carbon dioxide released and 2 trillion fewer gallons of water used. A recent innovation to the steam cycle used in fossil fuel power generation could achieve this.

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A research team enhanced hydrogen evolution catalyst through stepwise deposition.

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Researchers used topological data analysis to improve the predictions of physical properties of amorphous materials by machine-learning algorithms. This may allow for cheaper and faster calculations of material properties.