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Categories: Mathematics: Modeling, Physics: Optics

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An upconversion organic light-emitting diode (OLED) based on a typical blue-fluorescence emitter achieves emission at an ultralow turn-on voltage of 1.47 V. The technology circumvents the traditional high voltage requirement for blue OLEDs, leading to potential advancements in commercial smartphone and large screen displays.

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A study showing how electrons flow around sharp bends, such as those found in integrated circuits, has the potential to improve how these circuits, commonly used in electronic and optoelectronic devices, are designed.

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Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.

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Transition metals exchange electrons with supporting ligands to form complexes that facilitate reaction catalysis in several industries, like pharmaceutical production. Both the metal center and the ligand moiety have pivotal roles in enabling catalysis. While numerous transition metal-catalyzed photoreactions have been developed, only a few new ligands have been reported. Researchers from Chiba University have now developed novel ligands to create transition metal complexes, defining new reaction capabilities.

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Researchers have developed a new laser-based sampling system for studying the composition of ice cores taken from glaciers. The new system has a 3-mm depth-resolution and is expected to help reconstruct continuous annual temperature changes that occurred thousands to hundreds of thousands of years ago, which will help scientists understand climate change in the past and present.

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Achieving photochemical upconversion in a solid state is a step closer to reality, thanks to a new technique that could unlock vital innovations in renewable energy, water purification and advanced healthcare.

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A major new study has revealed that American teenagers are more likely than any other nationality to brag about their math ability.

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With Style2Fab, makers can rapidly customize models of 3D-printable objects, such as assistive devices, without hampering their functionality.

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The era of artificial-intelligence chatbots that seem to understand and use language the way we humans do has begun. Under the hood, these chatbots use large language models, a particular kind of neural network. But a new study shows that large language models remain vulnerable to mistaking nonsense for natural language. To a team of researchers, it's a flaw that might point toward ways to improve chatbot performance and help reveal how humans process language.

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In a new paper, researchers report a camera that could offer a much less expensive way to achieve ultrafast imaging for a wide range of applications such as real-time monitoring of drug delivery or high-speed lidar systems for autonomous driving. Researchers show that their new diffraction-gated real-time ultrahigh-speed mapping (DRUM) camera can capture a dynamic event in a single exposure at 4.8 million frames per second.

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Scientists have confirmed that human brains are naturally wired to perform advanced calculations, much like a high-powered computer, to make sense of the world through a process known as Bayesian inference.

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To address the lack of suitable training data for deep-learning semantic segmentation models in urban landscaping, researchers developed a method that generates a training dataset without the need for real images or a model of an existing city. The method, which is based on procedural modelling and image-to-image techniques, enables segmentation models to achieve comparable performance under some conditions at a fraction of the cost of real dataset generation.

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Researchers have developed a new simulation model, which can predict flooding during an ongoing disaster more quickly and accurately than currently possible.

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A research team has created an aluminum-nitride device that can convert visible light into deep-ultraviolet light through the process of second harmonic generation. This work can lead to the development of practical devices that can sterilize surfaces with ultraviolet radiation while using less energy.

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Using laser light, researchers have developed the most robust method currently known to control individual qubits made of the chemical element barium. The ability to reliably control a qubit is an important achievement for realizing future functional quantum computers.

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Researchers have found a way to maintain valley polarization at room temperature using novel materials and techniques.

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A new artificial intelligence tool can help people with Parkinson's disease remotely assess the severity of their symptoms within minutes. While expert neurologists performed slightly better than the AI model, the AI model outperformed the primary care physicians with UPDRS certification.

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Pumping liquids may seem like a solved problem but optimizing the process is still an area of active research. Any pumping application -- from industrial scales to heating systems at home -- would benefit from a reduction in energy demands. Researchers now showed how pulsed pumping can reduce both friction from and energy consumption of pumping. For this, they took inspiration from a pumping system intimately familiar to everyone: the human heart.

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A team of scientists developed a new machine learning model for discovering critical-element-free permanent magnet materials based on the predicted Curie temperature of new material combinations.

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Researchers have pushed the limits of the possible in the field of atomic-scale spin-optics, creating a spin-optical laser from monolayer-integrated spin-valley microcavities without requiring magnetic fields or cryogenic temperatures.