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Categories: Chemistry: Inorganic Chemistry, Mathematics: Statistics

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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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Fire ants form rafts to survive flooding, but how do those bonds work? And what can we learn from them? A professor is researching those questions to expand our knowledge of materials science.

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The optimal design of a novel zeolite catalyst enables tandem reaction that turns greenhouse gases into value-added chemicals, report scientists. By tuning the separation between different active sites on the catalyst, they achieved the stepwise conversion of methane into methanol and then to hydrocarbons at mild conditions. These findings will help reduce energy costs and greenhouse gas emissions across various industrial fields.

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Semiconductors are the foundation of all modern electronics. Now, researchers have developed a new method where organic semiconductors can become more conductive with the help of air as a dopant. The study is a significant step towards future cheap and sustainable organic semiconductors.

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Researchers who contributed to the development of record-breaking solar cells a few years ago, expanded their invention. The self-assembled monolayers can now be applied not only in inverted but also in regular structure perovskite solar cells.

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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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Researchers have recast diffusion in multicomponent alloys as a sum of individual contributions, called 'kinosons.' Using machine learning to compute the statistical distribution of the individual contributions, they were able to model the alloy and calculate its diffusivity orders of magnitude more efficiently than computing whole trajectories.

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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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A team of scientists has developed a novel technique to convert carbon dioxide (CO2) from treated flue gas directly into high-value chemicals and fuels. This innovation sidesteps the conventional approach of using high-purity CO2 for electrochemical reduction processes, achieving significant cost savings of about 30%.

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Artificial intelligence (AI) computer programs that process MRI results show differences in how the brains of men and women are organized at a cellular level, a new study shows. These variations were spotted in white matter, tissue primarily located in the human brain's innermost layer, which fosters communication between regions.

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The insights into the formation of various phases, including intermetallic compounds, at the interface between nickel (Ni) and tungsten (W) can lead to the development of advanced high-temperature Ni--W coatings. Their study sheds light on the formation of intercrystallite regions and Kirkendall voids, which can be leveraged to improve the durability and effectiveness of the alloys.

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A special review examines highly-cited papers in statistical ecology. The review, which covers a century of research, details how models and concepts have evolved alongside increasing computational power.

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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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Researchers report a new method that reduces the amount of iridium needed to produce hydrogen from water by 95%, without altering the rate of hydrogen production. This breakthrough could revolutionize our ability to produce ecologically friendly hydrogen and help usher in a carbon-neutral hydrogen economy.

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Perovskites are among the most researched topics in materials science. Recently, a research team has solved an age-old challenge to synthesize all-organic two-dimensional perovskites, extending the field into the exciting realm of 2D materials. This breakthrough opens up a new field of 2D all-organic perovskites, which holds promise for both fundamental science and potential applications.

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The global chemical industry is a major fossil fuel consumer and climate change contributor; however, new research has identified how the sector could clean up its green credentials by getting dirty.

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Scientists delve into the composition of nanocomposites for ultraviolet metasurface fabrication.

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Chemists created an enzyme with boronic acid at its reactive center. This approach can produce more selective reactions with boron, and allows the use of directed evolution to improve its catalytic power.

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Scientists introduce a large language model-based AI system that revolutionizes chemistry by integrating 18 advanced tools for tasks like organic synthesis and drug discovery.

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The natural vein structure found within leaves -- which has inspired the structural design of porous materials that can maximize mass transfer -- could unlock improvements in energy storage, catalysis, and sensing thanks to a new twist on a century-old biophysical law.