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Categories: Mathematics: Modeling, Physics: General

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Researchers have engineered string-like resonators capable of vibrating longer at ambient temperature than any previously known solid-state object -- approaching what is currently only achievable near absolute zero temperatures. Their study pushes the edge of nanotechnology and machine learning to make some of the world's most sensitive mechanical sensors.

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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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Researchers have unveiled a novel method to prepare quantum operations on a given quantum computer, using a machine learning generative model to find the appropriate sequence of quantum gates to execute a quantum operation. The study marks a significant step forward in unleashing the full extent of quantum computing.

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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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Large language model-based chatbots can't effectively recognize users' motivation when they are hesitant about making healthy behavior changes, but they can support those who are committed to take action, say researchers.

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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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Researchers have determined that a protein prediction technology can yield accurate results in the hunt to efficiently find the best possible drug candidates for many conditions.

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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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Strongly interacting systems play an important role in quantum physics and quantum chemistry. Stochastic methods such as Monte Carlo simulations are a proven method for investigating such systems. However, these methods reach their limits when so-called sign oscillations occur. This problem has now been solved using the new method of wavefunction matching.

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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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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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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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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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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.