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Categories: Mathematics: Modeling, Physics: General

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Physicists achieve major leap in precision and accuracy at extremely low light levels.

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Researchers have discovered a new class of plasma oscillations -- the back-and-forth, wave-like movement of electrons and ions. The research paves the way for improved particle accelerators and commercial fusion energy.

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Electrical engineers have determined the theoretical fundamental limit for how much electromagnetic energy a transparent material with a given thickness can absorb. The finding will help engineers optimize devices designed to block certain frequencies of radiation while allowing others to pass through, for applications such as stealth or wireless communications.

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A team of engineers has proven that their analog computing device, called a memristor, can complete complex, scientific computing tasks while bypassing the limitations of digital computing.

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Scientists recently published the results of a competition that put researchers to the test. For the competition, part of the NIH-funded Computational Models of Immunity network, teams of researchers from different institutions offered up their best predictions regarding B. pertussis (whooping cough) vaccination.

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Materials that are incredibly thin, only a few atoms thick, exhibit unique properties that make them appealing for energy storage, catalysis and water purification. Researchers have now developed a method that enables the synthesis of hundreds of new 2D materials.

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The origin of heavy elements in our universe is theorized to be the result of neutron star collisions, which produce conditions hot and dense enough for free neutrons to merge with atomic nuclei and form new elements in a split-second window of time. Testing this theory and answering other astrophysical questions requires predictions for a vast range of masses of atomic nuclei. Scientists are using machine learning algorithms to successfully model the atomic masses of the entire nuclide chart -- the combination of all possible protons and neutrons that defines elements and their isotopes.

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Researchers have created a new material that uses 'redox gating' to control the movement of electrons in and out of a semiconducting material.

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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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To advance neuromorphic computing, some researchers are looking at analog improvements -- advancing not just software, but hardware too. Research shows a promising new way to store and transmit information using disordered superconducting loops.

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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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Scientists have identified the first unconventional superconductor with a chemical composition also found in nature.

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By wrapping a carbon nanotube with a ribbon-like polymer, researchers were able to create nanotubes that conduct electricity when struck with low-energy light that our eyes cannot see. In the future, the approach could make it possible to optimize semiconductors for applications ranging from night vision to new forms of computing.

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Research in quantum materials is paving the way for groundbreaking discoveries and is poised to drive technological advancements that will redefine the landscapes of industries like mining, energy, transportation, and medtech. A technique called time- and angle-resolved photoemission spectroscopy (TR-ARPES) has emerged as a powerful tool, allowing researchers to explore the equilibrium and dynamical properties of quantum materials via light-matter interaction.

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Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to healthcare. But these networks remain a black box whose inner workings engineers and scientists struggle to understand. Now, a team has given neural networks the equivalent of an X-ray to uncover how they actually learn.

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Researchers have tested the performance of a new device that boosts particle signals.

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In the quest to develop quantum computers and networks, there are many components that are fundamentally different than those used today. Like a modern computer, each of these components has different constraints. However, it is currently unclear what materials can be used to construct those components for the transmission and storage of quantum information.

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High-temperature superconductor magnets have the potential to lower the costs of operating particle accelerators and enable powerful new technologies like fusion reactors. But quenches -- the sudden, destructive events wherein a part of the material loses superconductivity -- are a major barrier to their deployment. Scientists have developed an approach to prevent quenches altogether, rather than simply trying to manage them after they occur.

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Researchers have used tip-scan high-speed atomic force microscopy combined with an optical microscope to observe light-induced deformation of azo-polymer films. The process could be followed in real time, and the film patterns were found to change with the polarization of the light source. The observations will contribute to the use of azo-polymers in applications such as optical data storage, and the approach is expected to be useful across materials science and physical chemistry.

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A team of physicists has developed a method to detect gravity waves with such low frequencies that they could unlock the secrets behind the early phases of mergers between supermassive black holes, the heaviest objects in the universe.