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Categories: Energy: Nuclear, Mathematics: Statistics
Published New plasma escape mechanism could protect fusion vessels from excessive heat
(via sciencedaily.com) Original source The exhaust heat generated by a fusing plasma in a commercial-scale reactor may not be as damaging to the vessel's innards as once thought, according to new research about escaping plasma particles.
Published US public opinion on social media is warming to nuclear energy, but concerns remain
(via sciencedaily.com) Original source The U.S. public displays more positive than negative sentiment toward nuclear energy but concerns remain about waste, cost and safety, according to an analysis of 300,000 posts on social media.
Published AI approach elevates plasma performance and stability across fusion devices
(via sciencedaily.com) Original source Fusion researchers have successfully deployed machine learning methods to suppress harmful plasma edge instabilities without sacrificing plasma performance.
Published New machine learning method can better predict spine surgery outcomes
(via sciencedaily.com) Original source Researchers combine AI and mobile health to predict recovery from lumbar spine surgery.
Published High groundwater depletion risk in South Korea in 2080s
(via sciencedaily.com) Original source Team utilizes advanced statistical techniques to project the future groundwater depletion risk.
Published Wind farms are cheaper than you think -- and could have prevented Fukushima, says global review
(via sciencedaily.com) Original source Offshore wind could have prevented the Fukushima disaster, according to a review of wind energy.
Published Apple versus donut: How the shape of a tokamak impacts the limits of the edge of the plasma
(via sciencedaily.com) Original source A new model for ballooning instabilities in apple-shaped fusion vessels considers the height and width of the plasma's edge.
Published Breakthrough discovery uses engineered surfaces to shed heat
(via sciencedaily.com) Original source Splash a few drops of water on a hot pan and if the pan is hot enough, the water will sizzle and the droplets of water seem to roll and float, hovering above the surface. The temperature at which this phenomenon, called the Leidenfrost effect, occurs is predictable, usually happening above 230 degrees Celsius. A team has now discovered a method to create the aquatic levitation at a much lower temperature.
Published Improving statistical methods to protect wildlife populations
(via sciencedaily.com) Original source In human populations, it is relatively easy to calculate demographic trends and make projections of the future if data on basic processes such as births and immigration is known. The data, given by individuals, can be also death and emigration, which subtract. In the wild, on the other hand, understanding the processes that determine wildlife demographic patterns is a highly complex challenge for the scientific community. Although a wide range of methods are now available to estimate births and deaths in wildlife, quantifying emigration and immigration has historically been difficult or impossible in many populations of interest, particularly in the case of threatened species.
Published Magnetic imprint on deconfined nuclear matter
(via sciencedaily.com) Original source Scientists have the first direct evidence that the powerful magnetic fields created in off-center collisions of atomic nuclei induce an electric current in 'deconfined' nuclear matter. The study used measurements of how charged particles are deflected when they emerge from the collisions. The study provides proof that the magnetic fields exist and offers a new way to measure electrical conductivity in quark-gluon plasma.
Published Scientists use generative AI to answer complex questions in physics
(via sciencedaily.com) Original source Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning approaches.
Published Much more than a world first image of radioactive cesium atoms
(via sciencedaily.com) Original source Thirteen years after the nuclear disaster at the Fukushima Daiichi Nuclear Power Plant (FDNPP), a breakthrough in analysis has permitted a world first: direct imaging of radioactive cesium (Cs) atoms in environmental samples.
Published The case for sharing carbon storage risk
(via sciencedaily.com) Original source Even the most optimistic projections for the rapid build-out of solar, wind, and other low-carbon resources acknowledge that coal, natural gas, and other fossil fuels will dominate the world's energy mix for decades to come. If the vast greenhouse gas emissions from burning these fossil fuels continue to enter the planet's atmosphere, global warming will not be limited to sustainable levels. The capture and geologic sequestration of carbon emissions (CCS) offer a promising solution to the world's carbon conundrum.
Published Simulating diffusion using 'kinosons' and machine learning
(via sciencedaily.com) Original source Researchers have recast diffusion in multicomponent alloys as a sum of individual contributions, called 'kinosons.' Using machine learning to compute the statistical distribution of the individual contributions, they were able to model the alloy and calculate its diffusivity orders of magnitude more efficiently than computing whole trajectories.
Published Artificial intelligence tool detects male-female-related differences in brain structure
(via sciencedaily.com) Original source Artificial intelligence (AI) computer programs that process MRI results show differences in how the brains of men and women are organized at a cellular level, a new study shows. These variations were spotted in white matter, tissue primarily located in the human brain's innermost layer, which fosters communication between regions.
Published Century of statistical ecology reviewed
(via sciencedaily.com) Original source A special review examines highly-cited papers in statistical ecology. The review, which covers a century of research, details how models and concepts have evolved alongside increasing computational power.
Published New work extends the thermodynamic theory of computation
(via sciencedaily.com) Original source Physicists and computer scientists have recently expanded the modern theory of the thermodynamics of computation. By combining approaches from statistical physics and computer science, the researchers introduce mathematical equations that reveal the minimum and maximum predicted energy cost of computational processes that depend on randomness, which is a powerful tool in modern computers.
Published New Nevada experiments will improve monitoring of nuclear explosions
(via sciencedaily.com) Original source On an October morning in 2023, a chemical explosion detonated in a tunnel under the Nevada desert was the launch of the next set of experiments by the National Nuclear Security Administration, with the goal to improve detection of low-yield nuclear explosions around the world.
Published Atomic nucleus excited with laser: a breakthrough after decades
(via sciencedaily.com) Original source For the first time, the state of an atomic nucleus was switched with a laser. For decades, physicists have been looking for such a nuclear transition -- now it has been found. This opens up a new field of research with many technological applications. Now, nuclei can be used for extremely precise measurements. For example, a nuclear clock could be built that could measure time more precisely than the best atomic clocks available today.
Published AI deciphers new gene regulatory code in plants and makes accurate predictions for newly sequenced genomes
(via sciencedaily.com) Original source Elucidating the relationship between the sequences of non-coding regulatory elements and their target genes is key to understanding gene regulation and its variation between plant species and ecotypes. Now, an international research team developed deep learning models that link gene sequence data with mRNA copy number for several plant species and predicted the regulatory effect of gene sequence variation.