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Categories: Chemistry: Inorganic Chemistry, Mathematics: Statistics

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Researchers discovered that sulfur trioxide can form products other than sulfuric acid in the atmosphere by interacting with organic and inorganic acids. These previously uncharacterized acid sulfuric anhydride products are almost certainly key contributors to atmospheric new particle formation and a way to efficiently incorporate carboxylic acids into atmospheric nanoparticles. Better prediction of aerosol formation can help curb air pollution and reduce uncertainties concerning climate change.

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Researchers have used computational design methods to develop non-metal organic porous framework materials, with potential applications in areas such as catalysis, water capture or hydrogen storage.

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Scientists have uncovered the properties of a rare earth element that was first discovered 80 years ago at the very same laboratory, opening a new pathway for the exploration of elements critical in modern technology, from medicine to space travel.

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Scientists have discovered that when metal is struck by an object moving at a super high velocity, the heat makes the metal stronger. The finding could lead to new approaches to designing materials for extreme environments, such as shields that protect spacecraft or equipment for high-speed manufacturing.

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Engineers have modeled a new way to recycle polystyrene that could become the first viable way of making the material reusable.

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Use of the greenhouse gas CO2 as a chemical raw material would not only reduce emissions, but also the consumption of fossil feedstocks. A novel metal-free organic framework could make it possible to electrocatalytically produce ethylene, a primary chemical raw material, from CO2. Nitrogen atoms with a particular electron configuration play a critical role for the catalyst.

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Scientists describe a new method to make very thin crystals of the element bismuth -- a process that may aid the manufacturing of cheap flexible electronics an everyday reality.

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In human populations, it is relatively easy to calculate demographic trends and make projections of the future if data on basic processes such as births and immigration is known. The data, given by individuals, can be also death and emigration, which subtract. In the wild, on the other hand, understanding the processes that determine wildlife demographic patterns is a highly complex challenge for the scientific community. Although a wide range of methods are now available to estimate births and deaths in wildlife, quantifying emigration and immigration has historically been difficult or impossible in many populations of interest, particularly in the case of threatened species.

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Natural materials like bone, bird feathers and wood have an intelligent approach to physical stress distribution, despite their irregular architectures. However, the relationship between stress modulation and their structures has remained elusive. A new study that integrates machine learning, optimization, 3D printing and stress experiments allowed engineers to gain insight into these natural wonders by developing a material that replicates the functionalities of human bone for orthopedic femur restoration.

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Carbon nanotube (CNT) yarns are promising for flexible and fabric-type wearable materials that can convert waste heat into thermoelectricity. To improve the thermoelectric properties of CNT yarns, researchers dispersed CNT filaments in a highly viscous glycerol, enabling the production of CNT yarn with highly aligned bundles together with surfactants that prevent increased thermal conductivity. This innovative approach can significantly improve carbon nanotube-based thermoelectric materials, making it possible to power wearable devices using just body heat.

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By converting their data into sounds, scientists discovered how hydrogen bonds contribute to the lightning-fast gyrations that transform a string of amino acids into a functional, folded protein. Their report offers an unprecedented view of the sequence of hydrogen-bonding events that occur when a protein morphs from an unfolded to a folded state.

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Researchers experimentally investigate the impact of introducing high-density calcium on the superconductivity of calcium-intercalated bilayer graphene.

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Investigating ways to create high-performance steel, a research team used theoretical calculations on 120 combinations of 12 alloy elements, such as aluminum and titanium, with carbon and nitrogen, while also systematically clarifying the bonding mechanism.

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We are living in a world surrounded by liquid and flow, and understanding the principles that govern its movement is vital in our high-tech world. Through mathematical modeling and experimentation, researchers have expanded on Tanner's Law -- a law in fluid dynamics that describes how non-volatile liquids move across surfaces -- to cover a wider range of volatile liquids. These findings have the potential to play a role in various liquid-based industries such as electronics cooling.

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Scientists have the first direct evidence that the powerful magnetic fields created in off-center collisions of atomic nuclei induce an electric current in 'deconfined' nuclear matter. The study used measurements of how charged particles are deflected when they emerge from the collisions. The study provides proof that the magnetic fields exist and offers a new way to measure electrical conductivity in quark-gluon plasma.

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Researchers have developed a groundbreaking data-driven model to predict the dehydrogenation barriers of magnesium hydride, a promising material for solid-state hydrogen storage. This advancement holds significant potential for enhancing hydrogen storage technologies, a crucial component in the transition to sustainable energy solutions.

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Using DNA origami, researchers have built a diamond lattice with a periodicity of hundreds of nanometers -- a new approach for manufacturing semiconductors for visible light.

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C-H activation-based method should speed drug molecule design and diversification.

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Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning approaches.

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A team of chemists has achieved a significant breakthrough in the field of chemical synthesis, developing a novel method for manipulating carbon-hydrogen bonds. This groundbreaking discovery provides new insights into the molecular interactions of positively charged carbon atoms. By selectively targeting a specific C--H bond, they open doors to synthetic pathways that were previously closed -- with potential applications in medicine.