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Categories: Energy: Fossil Fuels, Mathematics: Modeling

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The quest to develop hydrogen as a clean energy source that could curb our dependence on fossil fuels may lead to an unexpected place -- coal. Scientists have found that coal may represent a potential way to store hydrogen gas, much like batteries store energy for future use, addressing a major hurdle in developing a clean energy supply chain.

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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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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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Nontraditional water sources can be deployed to help cope with climate-induced water risks and tackle the increasing water demand for decarbonization of fossil fuel-fired power plants, but that could increase the cost of electricity generation by 8 percent to 10 percent.

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Better understanding the formation of swirling, ring-shaped disturbances -- known as vortex rings -- could help nuclear fusion researchers compress fuel more efficiently, bringing it closer to becoming a viable energy source. A mathematical model linking these vortices with more pedestrian types, like smoke rings, could help engineers control their behavior in power generation and more.

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Researchers have developed a solar-powered technology that converts carbon dioxide and water into liquid fuels that can be added directly to a car's engine as drop-in fuel.

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In order to move, cells must be able to rapidly change shape. A team of researchers show that cells achieve this by storing extra 'skin' in folds and bumps on their surface. This cell surface excess can be rapidly deployed to cover temporary protrusions and then folded away for next time.

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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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Improved cookstoves, which are widely used for cooking in developing countries, produce twice as many harmful ultrafine air pollution particles (PM0.1) as conventional stoves, according to a new study.

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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 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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Neuroscientists have uncovered how exploratory actions enable animals to learn their spatial environment more efficiently. Their findings could help build better AI agents that can learn faster and require less experience.

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Researchers wanted to understand precisely how blackworms execute tangling and ultrafast untangling movements for a myriad of biological functions. They researched the topology of the tangles. Their research could inform the design of fiber-like, shapeshifting robotics that self-assemble and move in ways that are fast and reversible.

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The greenhouse gas carbon dioxide can be converted into useful hydrocarbons by electrolysis. The design of the electrolysis cell is crucial in this process. The so-called zero-gap cell is particularly suitable for industrial processes. But there are still problems: The cathodes clog up quickly.

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Researchers develop an early warning system that combines acoustic technology with AI to immediately classify earthquakes and determine potential tsunami risk. They propose using underwater microphones, called hydrophones, to measure the acoustic radiation produced by the earthquake, which carries information about the tectonic event and travels significantly faster than tsunami waves. The computational model triangulates the source of the earthquake and AI algorithms classify its slip type and magnitude. It then calculates important properties like effective length and width, uplift speed, and duration, which dictate the size of the tsunami.

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A team of physicists has illuminated certain properties of quantum systems by observing how their fluctuations spread over time. The research offers an intricate understanding of a complex phenomenon that is foundational to quantum computing.

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A research team has confirmed evidence of a previously unknown planet outside of our solar system, and they used machine learning tools to detect it. A recent study by the team showed that machine learning can correctly determine if an exoplanet is present by looking in protoplanetary disks, the gas around newly formed stars. The newly published findings represent a first step toward using machine learning to identify previously overlooked exoplanets.

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A new machine-learning system can generate protein designs with certain structural features, and which do not exist in nature. These proteins could be utilized to make materials that have similar mechanical properties to existing materials, like polymers, but which would have a much smaller carbon footprint.