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Categories: Chemistry: Thermodynamics, Mathematics: Statistics

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Instead of burning fossil fuels to smelt steel and cook cement, researchers in Switzerland want to use heat from the sun. The proof-of-concept study uses synthetic quartz to trap solar energy at temperatures over 1,000 C (1,832 F), demonstrating the method's potential role in providing clean energy for carbon-intensive industries.

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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.

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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.

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Researchers are using artificial intelligence to perfect the design of the vessels surrounding the super-hot plasma, optimize heating methods and maintain stable control of the reaction for increasingly long periods. A new article explains how a researcher team used machine learning to avoid magnetic perturbations, or disruptions, which destabilize fusion plasma.

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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.

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A research team has demonstrated that a simple stack of thermoelectric and magnetic material layers can exhibit a substantially larger transverse thermoelectric effect -- energy conversion between electric and heat currents that flow orthogonally to each other within it -- than existing magnetic materials capable of exhibiting the anomalous Nernst effect. This mechanism may be used to develop new types of thermoelectric devices useful in energy harvesting and heat flux sensing.

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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.

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A research team has demonstrated that an iron-based amorphous alloy, widely used as a soft magnetic material in transformers and motors, can be transformed into a 'transverse' thermoelectric conversion material that converts electric and thermal currents in orthogonal directions, with just a short period of heat treatment. This is the first example that highlights the importance of microstructure engineering in the development of transverse thermoelectric conversion materials, and provides new design guidelines for materials development to realize environmentally friendly power generation and thermal management technologies using magnetic materials.

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Scientists have dramatically reduced the time and energy required to chill materials to temperatures near absolute zero. Their prototype refrigerator could prove a boon for the burgeoning quantum industry, which widely uses ultracold materials.

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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.

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An unexpected discovery surprised a scientist: nanometer-sized diamond particles, which were intended for a completely different purpose, shone brightly in a magnetic resonance imaging experiment -- much brighter than the actual contrast agent, the heavy metal gadolinium. Could diamond dust -- in addition to its use in drug delivery to treat tumor cells -- one day become a novel contrast agent used for MRI?

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Silicon-based electronics are approaching their physical limitations and new materials are needed to keep up with current technological demands. Two-dimensional (2D) materials have a rich array of properties, including superconductivity and magnetism, and are promising candidates for use in electronic systems, such as transistors. However, precisely controlling the properties of these materials is extraordinarily difficult.

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Simulations on the Stampede2 supercomputer of the Texas Advanced Computing Center (TACC) are helping scientists engineer solutions to overheating of grid transformers -- a critical component of the electric grid.

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A researcher who made color history in 2009 with a vivid blue pigment has developed durable, reddish magentas inspired by lunar mineralogy and ancient Egyptian chemistry.

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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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Wirelessly connected devices perform an expanding array of applications, such as monitoring the condition of machinery and remote sensing in agricultural settings. These applications hold much potential for improving the efficiency, but how do you power these devices where reliable electrical sources are not available? Research points to a possible solution in the form of a novel type of battery.

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Researchers have developed a new method to predict the financial impacts climate change will have on agriculture, which can help support food security and financial stability for countries increasingly prone to climate catastrophes.

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Scientists have developed an automated workflow that could accelerate the discovery of new pharmaceutical drugs and other useful products. The new automated approach could analyze chemical reactions in real time and identify new chemical-reaction products much faster than current laboratory methods.

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Research groups have made a breakthrough in the field of hard disk drives (HDD) by demonstrating the feasibility of multi-level recording using a three-dimensional magnetic recording medium to store digital information. The research groups have shown that this technology can be used to increase the storage capacity of HDDs, which could lead to more efficient and cost-effective data storage solutions in the future.

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There is room for just one small bottle in the world's first refrigerator that is cooled with artificial muscles made of nitinol, a nickel-titanium alloy. But the mini-prototype is groundbreaking: it shows that elastocalorics is becoming a viable solution for practical applications. This climate-friendly cooling and heating technology is far more energy-efficient and sustainable than current methods.