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Categories: Chemistry: Thermodynamics, Offbeat: Computers and Math

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Researchers developed a machine-learning framework that can predict a key property of heat dispersion in materials that is up to 1,000 times faster than other AI methods, and could enable scientists to improve the efficiency of power generation systems and microelectronics.

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Researchers have used magnetic fields to reveal the mystery of how light particles split. Scientists are closer to giving the next generation of solar cells a powerful boost by integrating a process that could make the technology more efficient by breaking particles of light photons into small chunks.

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A new method to measure the continuous spectrum of light is set to improve thermal imaging and infrared thermography.

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Artificial intelligence (AI) is hot right now. Also hot: the data centers that power the technology. And keeping those centers cool requires a tremendous amount of energy. The problem is only going to grow as high-powered AI-based computers and devices become commonplace. That's why researchers are devising a new type of cooling system that promises to dramatically reduce energy demands.

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Researchers have developed somersaulting spin qubits for universal quantum logic. This achievement may enable efficient control of large semiconductor qubit arrays. The research group recently published their demonstration of hopping spins and somersaulting spins.

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Engineers have shown that something as simple as the flow of air through open-cell foam can be used to perform digital computation, analog sensing and combined digital-analog control in soft textile-based wearable systems.

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A prototype device harvests drinking water from the atmosphere, even in arid places.

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Chemists have developed a rapid electrothermal mineralization (REM) process, which in seconds can remediate the accumulation of synthetic chemicals that can contaminate soil and the environment.

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Faced with the world's impending freshwater scarcity, researchers turned to solar steam generators, which are emerging as a promising device for seawater desalination. The team sought design inspiration from trees and harnessed the potential of 3D printing. They present technology for producing efficient SSGs for desalination and introduces a novel method for printing functional nanocomposites for multi-jet fusion. Their SSGs were inspired by plant transpiration and are composed of miniature tree-shaped microstructures, forming an efficient, heat-distributing forest.

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Researchers are calling for regulation to guide the responsible and ethical development of bio-hybrid robotics -- a ground-breaking science which fuses artificial components with living tissue and cells.

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Aluminum scandium nitride thin films could pave the way for the next generation of ferroelectric memory devices, according to a new study. Compared to existing ferroelectric materials, these films maintain their ferroelectric properties and crystal structure even after heat treatment at temperatures up to 600 C in both hydrogen and argon atmospheres. This high stability makes them ideal for high-temperature manufacturing processes under the H2-included atmosphere used in fabricating advanced memory devices.

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An international team of researchers has embedded gold nanorods in hydrogels that can be processed through 3D printing to create structures that contract when exposed to light -- and expand again when the light is removed. Because this expansion and contraction can be performed repeatedly, the 3D-printed structures can serve as remotely controlled actuators.

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A new essay explores which conditions must be met for consciousness to exist. At least one of them can't be found in a computer.

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Have you ever wondered how insects are able to go so far beyond their home and still find their way? The answer to this question is not only relevant to biology but also to making the AI for tiny, autonomous robots. Drone-researchers felt inspired by biological findings on how ants visually recognize their environment and combine it with counting their steps in order to get safely back home. They have used these insights to create an insect-inspired autonomous navigation strategy for tiny, lightweight robots. It allows such robots to come back home after long trajectories, while requiring extremely little computation and memory (0.65 kiloByte per 100 m). In the future, tiny autonomous robots could find a wide range of uses, from monitoring stock in warehouses to finding gas leaks in industrial sites.

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Researchers engineered a new technique to identify at the nanoscale level what components are overheating in electronics and causing their performance to fail.

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In an era when the creation of artificial intelligence (AI) images is at the fingertips of the masses, the ability to detect fake pictures -- particularly deepfakes of people -- is becoming increasingly important. So what if you could tell just by looking into someone's eyes? That's the compelling finding of new research which suggests that AI-generated fakes can be spotted by analyzing human eyes in the same way that astronomers study pictures of galaxies.

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When you think of a battery, you probably don't think stretchy. But batteries will need this shape-shifting quality to be incorporated into flexible electronics, which are gaining traction for wearable health monitors. Now, researchers report a lithium-ion battery with entirely stretchable components, including an electrolyte layer that can expand by 5000%, and it retains its charge storage capacity after nearly 70 charge/discharge cycles.

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Snot might not be the first place you'd expect nanobots to be swimming around. But this slimy secretion exists in more places than just your nose and piles of dirty tissues -- it also lines and helps protect the lungs, stomach, intestines and eyes. And now, researchers have demonstrated in mice that their tiny, enzyme-powered 'snot bots' can push through the defensive, sticky layer and potentially deliver drugs more efficiently.

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Carbon capture is a promising approach for mitigating carbon dioxide (CO2) emissions. Different materials have been used to capture CO2 from industrial exhaust gases. Scientists developed hybrid CO2 capture materials containing sodium carbonate and nanocarbon prepared at different temperatures, tested their performance, and identified the optimal calcination temperature condition. They found that the hybrid material exhibits and maintains high CO2 capture capacity for multiple regeneration cycles at a lower temperature, making it cost- and energy-effective.

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Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network even closer to the actual human brain may make it more reliable, according to the researchers.