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Categories: Chemistry: Inorganic Chemistry, Computer Science: Artificial Intelligence (AI)

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In facing life's many challenges, we often opt for complex approaches to finding solutions. Yet, upon closer examination, the answers are often simpler than we expect, rooted in the core "essence" of the issue. This approach was demonstrated by a research team in their publication on addressing the inherent issues of solid-state batteries.

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If a material absorbs light, it will heat up. That heat must go somewhere, and the ability to control where and how much heat is emitted can protect or even hide such devices as satellites. An international team of researchers has published a novel method for controlling this thermal emission in Science.

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Nightmare material or truly man's best friend? A team of researchers equipped a dog-like quadruped robot with a mechanized arm that takes air samples from potentially treacherous situations, such as an abandoned building or fire. The robot dog walks samples to a person who screens them for potentially hazardous compounds.

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Scientists have created innovative soft robots equipped with electronic skins and artificial muscles, allowing them to sense their surroundings and adapt their movements in real-time.

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Thousands of particles of light can merge into a type of 'super photon' under suitable conditions. Physicists call such a state a photon Bose-Einstein condensate. Researchers have now shown that this exotic quantum state obeys a fundamental theorem of physics. This finding now allows one to measure properties of photon Bose-Einstein condensates which are usually difficult to access.

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A research team has developed a liquid metal-based electronic logic device that mimics the intelligent prey-capture mechanism of Venus flytraps. Exhibiting memory and counting properties, the device can intelligently respond to various stimulus sequences without the need for additional electronic components. The intelligent strategies and logic mechanisms in the device provide a fresh perspective on understanding 'intelligence' in nature and offer inspiration for the development of 'embodied intelligence'.

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Engineers have created a patent-pending method that creates layered perovskite nanowires with exceptionally well-defined and flexible cavities that exhibit a wide range of unusual optical properties beyond conventional perovskites.

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Auxetics defy common sense, widening when stretched and narrowing when compressed. Researchers have now made the process of using them much easier, paving the way for new types of auxetic products -- from better sneaker insoles to blast-resilient buildings.

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Have you ever wished you could understand what your dog is trying to say to you? Researchers are exploring the possibilities of AI, developing tools that can identify whether a dog's bark conveys playfulness or aggression.

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Researchers have developed a model that enables computers to interpret and understand human emotions, utilizing principles of mathematical psychology. In the future, the model can help the computer to adapt its own behavior and guide an irritated or anxious user in different ways. The implications of such technology are profound, offering a glimpse into a future where computers are not merely tools, but empathetic partners in user interaction.

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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.

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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.

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MIT researchers developed a technique to combine robotics training data across domains, modalities, and tasks using generative AI models. They create a combined strategy from several different datasets that enables a robot to learn to perform new tasks in unseen environments.

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Researchers develop a vastly more productive way to convert carbon dioxide into useful materials and compounds.

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Direct oxidation of methane to methanol is dominated by transition- or noble-metal-based catalysts, thus making the reaction quite expensive. To make the process efficient and cost-effective, researchers developed a transition-metal-free aluminosilicate ferrierite zeolite catalyst that can produce methanol by using methane and nitrous oxide as starting materials. The new catalyst ensures excellent methanol production efficiency, one of the highest recorded rates in the literature thus far.

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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.

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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.

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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.

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To overcome issues associated with real-life testing, researchers successfully demonstrated the use of digital twin technology within robot simulation software in assessing a robot's suitability for deployment in simulated built environments.

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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.