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Categories: Chemistry: Thermodynamics, Physics: General

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

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Two-dimensional materials such as graphene promise to form the basis of incredibly small and fast technologies, but this requires a detailed understanding of their electronic properties. New research demonstrates that fast electronic processes can be probed by irradiating the materials with ions first.

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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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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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Thermoelectric materials could play an important role in the clean energy transition, as they can produce electricity from sources of heat that would otherwise go to waste. Researchers report a new approach to efficiently predict when thermoelectric materials will have improved performance in converting heat into electricity.

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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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Perovskite hydrides are promising materials for various emerging energy technologies, but measuring their intrinsic hydride-ion conductivity is difficult. In a recent study, researchers address this issue using a novel laser deposition technique in an H-radical atmosphere. Using this approach, they grew thin-film single crystals of two different perovskite hydrides and characterized their hydride-ion conductivity. These efforts will bolster research on hydrogen-related materials.

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Researchers have developed a new method that can lead to significant energy savings in buildings. The team identified 28 major heat loss regions in a multi-unit residential building with the most severe ones being at wall intersections and around windows. A potential energy savings of 25 per cent is expected if 70 per cent of the discovered regions are fixed.

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It's one thing to dream up a quantum internet that could send hacker-proof information around the world via photons superimposed in different quantum states. It's quite another to physically show it's possible. That's exactly what physicists have done, using existing Boston-area telecommunication fiber, in a demonstration of the world's longest fiber distance between two quantum memory nodes to date.

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Instead of burning fossil fuels to smelt steel and cook cement, researchers in Switzerland want to use heat from the sun. The proof-of-concept study uses synthetic quartz to trap solar energy at temperatures over 1,000 C (1,832 F), demonstrating the method's potential role in providing clean energy for carbon-intensive industries.

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Using interference between two lasers, a research group has created an 'optical conveyor belt' that can move polaritons -- a type of light-matter hybrid particle -- in semiconductor-based microcavities. This work could lead to the development of new devices with applications in areas such as quantum metrology and quantum information.

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Researchers are using artificial intelligence to perfect the design of the vessels surrounding the super-hot plasma, optimize heating methods and maintain stable control of the reaction for increasingly long periods. A new article explains how a researcher team used machine learning to avoid magnetic perturbations, or disruptions, which destabilize fusion plasma.

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A new device that can process information using a small amount of light could enable energy-efficient and secure communications.

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Scientists have made a significant advance in laser plasma acceleration. By employing an innovative method, a research team managed to substantially exceed the previous record for proton acceleration. For the first time, they achieved energies that so far have only seemed possible at much larger facilities. As the research group reported, promising applications in medicine and materials science have now become much likelier.

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A research team has demonstrated that a simple stack of thermoelectric and magnetic material layers can exhibit a substantially larger transverse thermoelectric effect -- energy conversion between electric and heat currents that flow orthogonally to each other within it -- than existing magnetic materials capable of exhibiting the anomalous Nernst effect. This mechanism may be used to develop new types of thermoelectric devices useful in energy harvesting and heat flux sensing.

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Physicists and computer scientists have recently expanded the modern theory of the thermodynamics of computation. By combining approaches from statistical physics and computer science, the researchers introduce mathematical equations that reveal the minimum and maximum predicted energy cost of computational processes that depend on randomness, which is a powerful tool in modern computers.

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Collaborative efforts decode the mechanism behind stabilizing cathode doping in electric vehicle batteries.