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Categories: Mathematics: Modeling, Physics: Optics

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The absolute internal quantum efficiency (IQE) of indium gallium nitride (InGaN) based blue light-emitting diodes (LEDs) at low temperatures is often assumed to be 100%. However, a new study has found that the assumption of always perfect IQE is wrong: the IQE of an LED can be as low as 27.5%.

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Scientists generate low-energy electrons using ultraviolet light.

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Light is a very delicate and vulnerable property. Light can be absorbed or reflected at the surface of a material depending on the matter's properties or change its form and be converted into thermal energy. Upon reaching a metallic material's surface, light also tends to lose energy to the electrons inside the metal, a broad range of phenomena we call 'optical loss.' Production of ultra-small optical elements that utilize light in various ways is very difficult since the smaller the size of an optical component results in a greater optical loss. However, in recent years, the non-Hermitian theory, which uses optical loss in an entirely different way, has been applied to optics research.

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Using AI, researchers identified a new antibiotic that can kill Acinetobacter baumannii, a type of bacteria that is responsible for many drug-resistant infections.

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To overcome global energy challenges and fight the looming environmental crisis, researchers around the world investigate new materials for converting sunlight into electricity. Some of the most promising candidates for high-efficiency low-cost solar cell applications are based on lead halide perovskite (LHP) semiconductors. Despite record-breaking solar cell prototypes, the microscopic origin of the surprisingly excellent optoelectronic performance of this material class is still not completely understood. Now, an international team of physicists and chemists has demonstrated laser-driven control of fundamental motions of the LHP atomic lattice.

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Ultrafast laser physicists from the attoworld team have gained new insights into the dynamics of electrons in solids immediately after photoinjection.

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Nuclear clocks could allow scientists to probe the fundamental forces of the universe in the future. Researchers have made a crucial advance in this area as part of an international collaboration.

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Scientists have made a significant advancement with quantum technologies that could transform complex systems modelling with an accurate and effective approach that requires significantly re-duced memory.

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A new study has used global storm-resolving simulations and machine learning to create an algorithm that can deal separately with two different scales of cloud organization: those resolved by a climate model, and those that cannot be resolved as they are too small. This new approach addresses the missing piece of information in traditional climate model parameterizations and provides a way to predict precipitation intensity and variability more precisely.

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Scientists have found a new way to create a crystalline structure called a 'density wave' in an atomic gas. The findings can help us better understand the behavior of quantum matter, one of the most complex problems in physics.

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Researchers have made a breakthrough toward reducing the energy consumption of the photonic chips used in data centers and supercomputers.

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In nature, the skin of cephalopods (animals with tentacles attached to the head) exhibits unparalleled camouflage ability. Their skin contains pigment groups that can sense changes in environmental light conditions and adjust their appearance through the action of pigment cells. Although intricate in nature, this colour-changing ability is fundamentally based on a mechanical mechanism in which pigment particles are folded or unfolded under the control of radial muscles. Inspired by this natural process, a research team forms dynamic photochromic nanoclusters by mixing cyan, magenta and yellow microbeads, achieving photochromism on a macro scale.

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New experiments using one-dimensional gases of ultra-cold atoms reveal a universality in how quantum systems composed of many particles change over time following a large influx of energy that throws the system out of equilibrium.

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Computer scientists and oceanographers developed a machine-learning model that generates more accurate predictions about the velocities of ocean currents. The model could help make more precise weather forecasts or effectively predict how oil will spread after a spill.

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The connection between quantum physics and the theory of relativity is extremely hard to study. But now, scientists have set up a model system, which can help: Quantum particles can be tuned in such a way that the results can be translated into information about other systems, which are much harder to observe. This kind of 'quantum simulator' works very well and can lead to new insights about the nature of relativity and quantum physics.

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Adapting a detector developed for space X-ray observation, researchers have successfully verify strong-field quantum electrodynamics with exotic atoms.

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Researchers are embarking on a groundbreaking project to mimic the natural process of photosynthesis using bacteria to deliver electrons to a nanocrystal semiconductor photocatalyst. By leveraging the unique properties of microorganisms and nanomaterials, the system has the potential to replace current approaches that derive hydrogen from fossil fuels, revolutionizing the way hydrogen fuel is produced and unlocking a powerful source of renewable energy.

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Researchers describe developing a super-resolution imaging platform technology to improve understanding of how nanoparticles interact within cells.

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Researchers explore the role of uneven coffee extraction using a simple mathematical model. They split the coffee into two regions to examine whether uneven flow does in fact make weaker espresso. One of the regions in the model system hosted more tightly packed coffee than the other, which caused an initial disparity in flow resistance. The extraction of coffee decreased the flow resistance further. Understanding the origin of uneven extraction and avoiding or preventing it could enable better brews and substantial financial savings by using coffee more efficiently.

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A team of researchers has improved a new generation of organic-inorganic hybrid materials that can improve image quality in X-ray machines, CT scans and other radiation detection and imaging technologies.