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Categories: Geoscience: Earthquakes, Mathematics: General

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Pore pressure diffusion generated by carbon dioxide injected underground at a carbon storage site in the Illinois Basin is the likely cause of hundreds of microearthquakes that took place at the site between 2011 and 2012, according to a new analysis.

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A research group explores how the makeup of rocks, specifically their permeability -- or how easily fluids can flow through them -- affects the frequency and intensity of slow slip events. Slow slips' role in the earthquake cycle may help lead to a better model to predict when earthquakes happen.

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Researchers have developed an AI method that improves the identification of toxic chemicals -- based solely on knowledge of the molecular structure. The method can contribute to better control and understanding of the ever-growing number of chemicals used in society, and can also help reduce the amount of animal tests.

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A research team studied earthquake hazard maps from five countries and found that all the maps seemed to overpredict the historically observed earthquake shaking intensities. In analyzing the possible causes, the researchers discovered the issue was with the conversion equations used in comparing the maps predicting future quakes with actual shaking data, rather than systemic problems with the hazard modeling itself.

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A study describes a new computer algorithm which can be applied to Earth System Models to drastically reduce the time needed to prepare these in order to make accurate predictions of future climate change. During tests on models used in IPCC simulations, the algorithm was on average 10 times faster at spinning up the model than currently-used approaches, reducing the time taken to achieve equilibrium from many months to under a week.

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Quantum mechanical effects such as radioactive decay, or more generally: 'tunneling', display intriguing mathematical patterns. Researchers now show that a 40-year-old mathematical discovery can be used to fully encode and understand this structure.

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Researchers have demonstrated that ferromagnetism, an ordered state of atoms, can be induced by increasing particle motility and that repulsive forces between atoms are sufficient to maintain it. The discovery not only extends the concept of active matter to quantum systems but also contributes to the development of novel technologies that rely on the magnetic properties of particles, such as magnetic memory and quantum computing.

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Researchers have discovered a unique property, the quantum metric, within magnetic materials, altering the 'electron universe' geometry. This distinct electric signal challenges traditional electrical conduction and could revolutionize spintronic devices.

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A sensing technology that can assess the quality of components in fields such as aerospace could transform UK industry.

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Earthquakes and landslides are famously difficult to predict and prepare for. By studying a miniature version of the ground in the lab, scientists have demonstrated how these events can be triggered by a small external shock wave. Bring a flotation device: it involves the ground briefly turning into a liquid!

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Using machine learning, researchers have tied low-magnitude microearthquakes to the permeability of subsurface rocks beneath the Earth, a discovery that could have implications for improving geothermal energy transfer.

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The Takagi--Sugeno (T--S) fuzzy descriptor system offers a promising avenue for controlling non-linear systems but lacks optimal control strategies. Moreover, while robust control methods have been developed, they add additional complexity. To address these limitations, a team of researchers has developed novel optimal and robust-optimal controllers based on the T--S fuzzy descriptor model, holding great potential for enhanced autonomous systems.

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Little progress had been made in solving Ramsey problems since the 1930s. Now, researchers have found the answer to r(4,t), a longstanding Ramsey problem that has perplexed the math world for decades.

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Scientists successfully addressed mathematical challenges in conventional Spectral Matrix analysis, used to analyze three-component seismic signals, by introducing time-delay components. The new technique enables the characterization of various polarized waves and the detection of seismic events that have previously gone unnoticed by conventional methods. These findings pave the way for improving a variety of applications, including earthquake detection.

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A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19.

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Seattle may have experienced its own Swift Quake last July, but at an August 2023 concert Taylor Swift's fans in Los Angeles gave scientists a lot of shaking to ponder. After some debate, a research team concluded that it was likely the dancing and jumping motions of the audience at SoFi Stadium -- not the musical beats or reverberations of the sound system -- that generated the concert's distinct harmonic tremors.

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Existing ship control systems using Model Predictive Control for Maritime Autonomous Surface Ships (MASS) do not consider the various forces acting on ships in real sea conditions. Addressing this gap, researchers developed a novel time-optimal control method, that accounts for the real wave loads acting on a ship, enabling effective planning and control of MASS at sea.

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Through steady advances in the development of quantum computers and their ever-improving performance, it will be possible in the future to crack our current encryption processes. To address this challenge, researchers are developing encryption methods that will apply physical laws to prevent the interception of messages. To safeguard communications over long distances, the QUICK space mission will deploy satellites.

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When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training -- such as the laws of physics --could make them more efficient and more reflective of the real world. However, helping the AI assess the value of different rules can be a tricky task.

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A new safety-check technique can prove with 100 percent accuracy that a planned robot motion will not result in a collision. The method can generate a proof in seconds and does so in a way that can be easily verified by a human.