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Categories: Computer Science: General, Physics: Quantum Physics
Published Moving from the visible to the infrared: Developing high quality nanocrystals



Awarded the 2023 Nobel Prize in Chemistry, quantum dots have a wide variety of applications ranging from displays and LED lights to chemical reaction catalysis and bioimaging. These semiconductor nanocrystals are so small -- on the order of nanometers -- that their properties, such as color, are size dependent, and they start to exhibit quantum properties. This technology has been really well developed, but only in the visible spectrum, leaving untapped opportunities for technologies in both the ultraviolet and infrared regions of the electromagnetic spectrum.
Published Detecting defects in tomorrow's technology



New research offers an enhanced understanding of common defects in transition-metal dichalcogenides (TMDs) -- a potential replacement for silicon in computer chips -- and lays the foundation for etching smaller features.
Published Diagnosing different forms of dementia now possible using artificial intelligence



Ten million new cases of dementia are diagnosed each year but the presence of different dementia forms and overlapping symptoms can complicate diagnosis and delivery of effective treatments. Now researchers have developed an AI tool that can diagnose ten different types of dementia such as vascular dementia, Lewy body dementia, and frontotemporal dementia, even if they co-occur.
Published A 2D device for quantum cooling



Engineers have created a device that can efficiently convert heat into electrical voltage at temperatures lower than that of outer space. The innovation could help overcome a significant obstacle to the advancement of quantum computing technologies, which require extremely low temperatures to function optimally.
Published A genetic algorithm for phononic crystals



Researchers tested phononic nanomaterials designed with an automated genetic algorithm that responded to light pulses with controlled vibrations. This work may help in the development of next-generation sensors and computer devices.
Published Machine learning could aid efforts to answer long-standing astrophysical questions



Physicists have developed a computer program incorporating machine learning that could help identify blobs of plasma in outer space known as plasmoids. In a novel twist, the program has been trained using simulated data.
Published Giant clams may hold the answers to making solar energy more efficient



Solar panel and biorefinery designers could learn a thing or two from iridescent giant clams living near tropical coral reefs, according to a new study. This is because giant clams have precise geometries -- dynamic, vertical columns of photosynthetic receptors covered by a thin, light-scattering layer -- that may just make them the most efficient solar energy systems on Earth.
Published Neutrons on classically inexplicable paths



Is nature really as strange as quantum theory says -- or are there simpler explanations? New neutron measurements prove: It doesn't work without the strange properties of quantum theory.
Published New and improved camera inspired by the human eye



Computer scientists have invented a camera mechanism that improves how robots see and react to the world around them. Inspired by how the human eye works, their innovative camera system mimics the tiny involuntary movements used by the eye to maintain clear and stable vision over time.
Published New computational microscopy technique provides more direct route to crisp images



A new computational microscopy technique solves for true high-resolution images without the guesswork that has limited the precision of other techniques.
Published Wireless receiver blocks interference for better mobile device performance



Researchers developed a new wireless receiver that can block strong interference signals at the earliest opportunity, which could improve the performance of a mobile device.
Published Researchers develop fastest possible flow algorithm



Computer scientists have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with minimum transport costs for any type of network. It thus solves a key question in theoretical computer science. The superfast algorithm also lays the foundation for efficiently computing very large and dynamically changing networks in the future.
Published Visual explanations of machine learning models to estimate charge states in quantum dots



To form qubit states in semiconductor materials, it requires tuning for numerous parameters. But as the number of qubits increases, the amount of parameters also increases, thereby complicating this process. Now, researchers have automated this process, overcoming a significant barrier to realizing quantum computers.
Published Characterization of the extraordinary thermoelectric properties of cadmium arsenide thin films



If there's one thing we humans are good at, it's producing heat. Significant amounts, and in many cases most of the energy we generate and put into our systems we lose as heat, whether it be our appliances, our transportation, our factories, even our electrical grid.
Published Understanding quantum states: New research shows importance of precise topography in solid neon qubits



A new study shows new insight into the quantum state that describes the condition of electrons on an electron-on-solid-neon quantum bit, information that can help engineers build this innovative technology.
Published A chip-scale Titanium-sapphire laser



With a single leap from tabletop to the microscale, engineers have produced the world's first practical Titanium-sapphire laser on a chip, democratizing a once-exclusive technology.
Published Precision instrument bolsters efforts to find elusive dark energy



Dark energy -- a mysterious force pushing the universe apart at an ever-increasing rate -- was discovered 26 years ago, and ever since, scientists have been searching for a new and exotic particle causing the expansion. Physicists combined an optical lattice with an atom interferometer to hold atoms in place for up to 70 seconds -- a record for an atom interferometer -- allowing them to more precisely test for deviations from the accepted theory of gravity that could be caused by dark energy particles such as chameleons or symmetrons. Though they detected no anomalies, they're improving the experiment to perform more sensitive tests of gravity, including whether gravity is quantized.
Published Mechanical computer relies on kirigami cubes, not electronics



Researchers have developed a kirigami-inspired mechanical computer that uses a complex structure of rigid, interconnected polymer cubes to store, retrieve and erase data without relying on electronic components. The system also includes a reversible feature that allows users to control when data editing is permitted and when data should be locked in place.
Published Balancing act: Novel wearable sensors and AI transform balance assessment



Traditional methods to assess balance often suffer from subjectivity, aren't comprehensive enough and can't be administered remotely. They also are expensive and require specialized equipment and clinical expertise. Using wearable sensors and advanced machine learning algorithms, researchers offer a practical and cost-effective solution for capturing detailed movement data, essential for balance analysis. This approach is more accessible and can be administered remotely, which could have significant implications for health care, rehabilitation, sports science or other fields where balance assessment is important.
Published Researchers develop new training technique that aims to make AI systems less socially biased



Researchers have created a new, cost-effective training technique for artificial intelligence systems that aims to make them less socially biased.