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Categories: Mathematics: Modeling, Physics: Optics
Published Supercomputer used to simulate winds that cause clear air turbulence
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Using Japan's most powerful supercomputer, researchers reproduced cases of clear air turbulence around Tokyo. They simulated the fine vortices responsible for this dangerous phenomenon. The usefulness of the simulation in predicting turbulence was confirmed by comparing simulation data with data from aircraft recordings. This research should improve the forecasting of turbulence.
Published Researcher turns one of the basic rules of construction upside down
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Structural engineers are familiar with seventeenth-century scientist Robert Hooke's theory that a hanging chain will mirror the shape of an upstanding rigid arch. However, new research now shows that this common-held belief is incorrect because, regardless of the similarities, the hanging chain and the arch are two incompatible mechanical systems.
Published Board games are boosting math ability in young children
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Board games based on numbers, like Monopoly, Othello and Chutes and Ladders, make young children better at math, according to a comprehensive review of research published on the topic over the last 23 years.
Published Machine learning takes materials modeling into new era
(via sciencedaily.com) 
The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a simulation technique that offers both high fidelity and scalability across different time and length scales has long been a roadblock for the progress of these technologies. Researchers have now pioneered a machine learning-based simulation method that supersedes traditional electronic structure simulation techniques. Their Materials Learning Algorithms (MALA) software stack enables access to previously unattainable length scales.
Published Deciphering the thermodynamic arrow of time in large-scale complex networks
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A solution for temporal asymmetry -- or entropy production -- in thermodynamics has been developed to further our understanding of the behavior of biological systems, machine learning, and AI tools. The researchers worked on the time-irreversible Ising model dynamics caused by asymmetric connections between neurons.
Published Researchers teach an AI to write better chart captions
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A new tool helps scientists develop machine-learning models that generate richer, more detailed captions for charts, and vary the level of complexity of a caption based on the needs of users. This could help improve accessibility for people with visual disabilities.
Published Evaluating cybersecurity methods
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Researchers created a generic framework that enables an engineer or scientist to evaluate the effectiveness of defense schemes that seek to limit a hacker's ability to learn secret information by observing the behavior of a victim computer program.
Published Turning old maps into 3D digital models of lost neighborhoods
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Original source 
Imagine strapping on a virtual reality headset and 'walking' through a long-gone neighborhood in your city -- seeing the streets and buildings as they appeared decades ago. That's a very real possibility now that researchers have developed a method to create 3D digital models of historic neighborhoods using machine learning and historic Sanborn Fire Insurance maps.
Published Nanophotonics: Coupling light and matter
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Original source 
Researchers have developed a metasurface that enables strong coupling effects between light and transition metal dichalcogenides (TMDCs).
Published Generative AI models are encoding biases and negative stereotypes in their users
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In the space of a few months generative AI models, such as ChatGPT, Google's Bard and Midjourney, have been adopted by more and more people in a variety of professional and personal ways. But growing research is underlining that they are encoding biases and negative stereotypes in their users, as well as mass generating and spreading seemingly accurate but nonsensical information. Worryingly, marginalized groups are disproportionately affected by the fabrication of this nonsensical information.
Published New microcomb device advances photonic technology
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Original source 
Researchers have outlined a new high-speed tunable microcomb that could help propel advances in wireless communication, imaging, atomic clocks, and more.
Published Groundwork for future ultra-precise timing links to geosynchronous satellites
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Scientists have demonstrated a capability long sought by physicists: transmitting extremely precise time signals through the air between far-flung locations at powers that are compatible with future space-based missions. The results could enable time transfer from the ground to satellites in geosynchronous orbit with femtosecond precision -- 10,000 times better than the existing state-of-the-art satellite approaches. It also would allow for successful synchronization using the bare minimum timing signal strength, which would make the system highly robust in the face of atmospheric disturbances.
Published Bridging traditional economics and econophysics
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How do asset markets work? Which stocks behave similarly? Economists, physicists, and mathematicians work intensively to draw a picture but need to learn what is happening outside their discipline. A new paper now builds a bridge.
Published Terahertz-to-visible light conversion for future telecommunications
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Original source 
A study demonstrates that graphene-based materials can be used to efficiently convert high-frequency signals into visible light, and that this mechanism is ultrafast and tunable. These outcomes open the path to exciting applications in near-future information and communication technologies.
Published Nanomaterials: 3D printing of glass without sintering
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A new process enables printing of nanometer-scale quartz glass structures directly onto semiconductor chips. A hybrid organic-inorganic polymer resin is used as feedstock material for 3D printing of silicon dioxide. Since the process works without sintering, the required temperatures are significantly lower. Simultaneously, increased resolution enables visible-light nanophotonics.
Published High-quality child care contributes to later success in science, math
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Children who receive high-quality child care as babies, toddlers and preschoolers do better in science, technology, engineering and math through high school, and that link is stronger among children from low-income backgrounds, according to new research.
Published Photosynthesis, key to life on Earth, starts with a single photon
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A cutting-edge experiment has revealed the quantum dynamics of one of nature's most crucial processes.
Published A step toward safe and reliable autopilots for flying
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Original source 
Researchers developed a machine-learning technique that can autonomously drive a car or fly a plane through a very difficult 'stabilize-avoid' scenario, in which the vehicle must stabilize its trajectory to arrive at and stay within some goal region, while avoiding obstacles.
Published New material transforms light, creating new possibilities for sensors
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Original source 
A new class of materials that can absorb low energy light and transform it into higher energy light might lead to more efficient solar panels, more accurate medical imaging and better night vision goggles.
Published Researchers demonstrate noise-free communication with structured light
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Original source 
Scientists used a new invariant property of vectorial light to encode information. This quantity, which the team call 'vectorness', scales from 0 to 1 and remains unchanged when passing through a noisy channel.