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Categories: Paleontology: Dinosaurs, Physics: General

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Researchers have achieved real-time capture of the ionization process and subsequent structural changes in gas-phase molecules through an enhanced mega-electronvolt ultrafast electron diffraction (MeV-UED) technique, enabling observation of faster and finer movements of ions.

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Be fast, avoid light, and roll through a curvy ramp: This is the recipe for a pioneering experiment proposed by theoretical physicists. An object evolving in a potential created through electrostatic or magnetic forces is expected to rapidly and reliably generate a macroscopic quantum superposition state.

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Researchers have developed a new theoretical model explaining one way to make black silicon. The new etching model precisely explains how fluorine gas breaks certain bonds in the silicon more often than others, depending on the orientation of the bond at the surface. Black silicon is an important material used in solar cells, light sensors, antibacterial surfaces and many other applications.

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Researchers have demonstrated the remarkable ability to perturb pairs of spatially separated yet interconnected quantum entangled particles without altering their shared properties.

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A study has used the power of machine learning to overcome a key challenge affecting quantum devices. For the first time, the findings reveal a way to close the 'reality gap': the difference between predicted and observed behavior from quantum devices.

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Spin-orbit torque (SOT), an important phenomenon for developing ultrafast and low-power spintronic devices, can be enhanced through Berry phase monopole engineering at high temperatures. In a new study, the temperature dependence of the intrinsic spin Hall effect of TaSi2 was investigated. The results suggest that Berry phase monopole engineering is an effective strategy for achieving high-temperature SOT spintronic devices.

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Researchers have created the first functional semiconductor made from graphene, a single sheet of carbon atoms held together by the strongest bonds known. The breakthrough throws open the door to a new way of doing electronics.

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Perovskite nanosheets show distinctive characteristics with significant applications in science and technology. In a recent study, researchers achieved enhanced signal amplification in CsPbBr3 perovskite nanosheets with a unique waveguide pattern, which enhanced both gain and thermal stability. These advancements carry wide-ranging implications for laser, sensor, and solar cell applications, and can potentially influence areas like environmental monitoring, industrial processes, and healthcare.

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Coal is an abundant resource in the United States that has, unfortunately, contributed to climate change through its use as a fossil fuel. As the country transitions to other means of energy production, it will be important to consider and reevaluate coal's economic role. Coal may actually play a vital role in next-generation electronic devices.

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Researchers have fabricated a new high-performance shortwave infrared (SWIR) image sensor based on non-toxic colloidal quantum dots. They report on a new method for synthesizing functional high-quality non-toxic colloidal quantum dots integrable with complementary metal-oxide-semiconductor (CMOS) technology.

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A new analysis of fossils believed to be juveniles of T. rex now shows they were adults of a small tyrannosaur, with narrower jaws, longer legs, and bigger arms than T. rex. The species, Nanotyrannus lancensis, was first named decades ago but later reinterpreted as a young T. rex. The new study shows Nanotyrannus was a smaller, longer-armed relative of T. rex, with a narrower snout.

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Researchers have discovered that molecules experience non-reciprocal interactions without external forces. Fundamental forces such as gravity and electromagnetism are reciprocal, where two objects are attracted to each other or are repelled by each other. In our everyday experience, however, interactions don t seem to follow this reciprocal law.

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Engineers pair vibrating particles, called phonons, with particles of light, called photons, to enhance the nonlinear optical properties of hexagonal boron nitride.

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Lights could soon use the full color suite of perfectly efficient organic light-emitting diodes, or OLEDs, that last tens of thousands of hours. The new phosphorescent OLEDs, commonly referred to as PHOLEDs, can maintain 90% of the blue light intensity for 10-14 times longer than other designs that emit similar deep blue colors. That kind of lifespan could finally make blue PHOLEDs hardy enough to be commercially viable in lights that meet the Department of Energy's 50,000-hour lifetime target. Without a stable blue PHOLED, OLED lights need to use less-efficient technology to create white light.

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An international research team recently demonstrated how magnetism can be actively changed by pressure.

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Scientists have developed a method to extract the spectral density for molecules in solvent using simple resonance Raman experiments -- a method that captures the full complexity of chemical environments.

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A research team has unveiled a remarkable breakthrough in the form of a two-dimensional (2D) Metal Organic Framework (MOF) that showcases unprecedented origami-like movement at the molecular level. This pioneering study represents a significant leap forward in the field of dynamic materials, while also hinting at futuristic applications in metamaterials and quantum computing.

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Using conventional X-rays and lasers to detect the atomic state of hydrogen is challenging, given its small size. A group of researchers may have overcome this barrier by unveiling a new visualization technique that employs an optical microscope and polyaniline to paint a better picture of how hydrogen behaves in metals.

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During X-ray diffraction experiments, bright lasers shine on a sample, producing diffracted images that contain important information about the material's structure and properties. But conventional methods of analyzing these images can be contentious, time-consuming, and often ineffective, so scientists are developing deep learning models to better leverage the data.

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Researchers developed a way to quickly calculate the transition state structure of a chemical reaction, using machine-learning models.