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Categories: Computer Science: General, Physics: General
Published Towards next-gen functional materials: direct observation of electron transfer in solids
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Nanoscale electron transfer (ET) in solids is fundamental to the development of multifunctional materials. However, ET in solids is not yet clearly understood. Now, researchers achieved a direct observation of solid-state ET through X-ray crystal analysis by fabricating a novel double-walled non-covalent crystalline nanotube, which can absorb electron donor molecules and maintain its crystalline structure during ET. This innovative approach can lead to the design of novel functional materials soon.
Published Observing ultrafast photoinduced dynamics in a halogen-bonded supramolecular system
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Researchers uncover how the halogen bond can be exploited to direct sequential dynamics in the multi-functional crystals, offering crucial insights for developing ultrafast-response times for multilevel optical storage.
Published Shining a light on molecules: L-shaped metamaterials can control light direction
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Polarized light waves spin clockwise or counterclockwise as they travel, with one direction behaving differently than the other as it interacts with molecules. This directionality, called chirality or handedness, could provide a way to identify and sort specific molecules for use in biomedicine applications, but researchers have had limited control over the direction of the waves -- until now.
Published Scientists develop 'x-ray vision' technique to see inside crystals
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A team of researchers has created a new way to visualize crystals by peering inside their structures, akin to having X-ray vision. Their new technique -- which they aptly named 'Crystal Clear' -- combines the use of transparent particles and microscopes with lasers that allow scientists to see each unit that makes up the crystal and to create dynamic three-dimensional models.
Published Groundbreaking progress in quantum physics: How quantum field theories decay and fission
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An international research team has sparked interest in the scientific community with results in quantum physics. In their current study, the researchers reinterpret the Higgs mechanism, which gives elementary particles mass and triggers phase transitions, using the concept of 'magnetic quivers.'
Published Understanding the atomic density fluctuations in silica glass
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The intermediate range order of covalent glasses has been extensively studied in terms of the first sharp diffraction peak (FSDP), but the direct observation of the atomic density fluctuations that give rise to FSDP is still lacking. Addressing this gap, researchers employed a new energy-filtered angstrom-beam electron diffraction technique to provide the direct experimental observation for the origin of FSDP in silica glass, providing important insights into the atomic structure of glasses.
Published The coldest lab in New York has new quantum offering
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Physicists describe the successful creation of a molecular Bose-Einstein condensate (BEC). Made up of dipolar sodium-cesium molecules that were cooled with the help of microwave shielding to just 5 nanoKelvin and lasted for up to two seconds, the new molecular BEC will help scientists explore a number of different quantum phenomena, including new types of superfluidity, and enable the creation of quantum simulators to ecreate the enigmatic properties of complex materials, like solid crystals.
Published Children's visual experience may hold key to better computer vision training
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A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to new research.
Published This self-powered sensor could make MRIs more efficient
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MRI scans are commonly used to diagnose a variety of conditions, anything from liver disease to brain tumors. But, as anyone who has been through one knows, patients must remain completely still to avoid blurring the images and requiring a new scan. A prototype device could change that. The self-powered sensor detects movement and shuts down an MRI scan in real time, improving the process for patients and technicians.
Published Scientists develop most sensitive way to observe single molecules
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A technical achievement marks a significant advance in the burgeoning field of observing individual molecules without the aid of fluorescent labels. While these labels are useful in many applications, they alter molecules in ways that can obscure how they naturally interact with one another. The new label-free method makes the molecules so easy to detect, it is almost as if they had labels.
Published AI saving humans from the emotional toll of monitoring hate speech
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A team of researchers have developed a new machine-learning method that detects hate speech on social media platforms with 88 per cent accuracy, saving employees from hundreds of hours of emotionally damaging work.
Published Combining simulations and experiments to get the best out of Fe3Al
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Researchers combined computer simulations and transmission electron microscopy experiments to better understand the ordering mobility and formation of microstructure domains in Fe3Al alloy. They were able to correlate structural changes with heat treatment to understand how particular mechanical behavior can be achieved. This is expected to allow the superelastic properties of Fe3Al to harnessed for the 3D printing of construction materials for absorbing seismic activity.
Published The thinnest lens on Earth, enabled by excitons
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Lenses are used to bend and focus light. Normal lenses rely on their curved shape to achieve this effect, but physicists have made a flat lens of only three atoms thick which relies on quantum effects. This type of lens could be used in future augmented reality glasses.
Published Generative AI to protect image privacy
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Image privacy could be protected with the use of generative artificial intelligence. Researchers created a system which replaces parts of images that might threaten confidentiality with visually similar but AI-generated alternatives. Named 'generative content replacement,' in tests, 60% of viewers couldn't tell which images had been altered. The researchers intend for this system to provide a more visually cohesive option for image censoring, which helps to preserve the narrative of the image while protecting privacy.
Published Researchers apply quantum computing methods to protein structure prediction
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Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction.
Published Theoretical quantum speedup with the quantum approximate optimization algorithm
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Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials science and more.
Published Modular, scalable hardware architecture for a quantum computer
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Researchers demonstrated a scalable, modular hardware platform that integrates thousands of interconnected qubits onto a customized integrated circuit. This 'quantum-system-on-chip' (QSoC) architecture enables them to precisely tune and control a dense array of qubits.
Published Graphene gets cleaned up
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Engineers establish the link between oxygen and graphene quality and present an oxygen-free chemical vapor deposition method (OF-CVD) that can reproducibly create high-quality samples for large-scale production. The graphene they synthesized with their new method proved nearly identical to exfoliated samples and was capable of producing the fractional quantum Hall effect.
Published Bio-inspired cameras and AI help drivers detect pedestrians and obstacles faster
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Artificial intelligence (AI) combined with a novel bio-inspired camera achieves 100 times faster detection of pedestrians and obstacles than current automotive cameras. This important step for computer vision and AI and can greatly improve the safety of automotive systems and self-driving cars.
Published AI helps medical professionals read confusing EEGs to save lives
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Researchers have developed an assistive machine learning model that greatly improves the ability of medical professionals to read the electroencephalography (EEG) charts of intensive care patients. Because EEG readings are the only method for knowing when unconscious patients are in danger of suffering a seizure or are having seizure-like events, the computational tool could help save thousands of lives each year.