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Categories: Computer Science: General, Energy: Alternative Fuels

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Researchers have developed an organic photovoltaic film that is both waterproof and flexible, allowing a solar cell to be put onto clothes and still function correctly after being rained on or even washed.

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Conditions that usually accompany the kind of intense hot and cold weather that strains power grids may also provide greater opportunities to capture solar and wind energy. A study found that widespread, extreme temperature events are often accompanied by greater solar radiation and higher wind speeds that could be captured by solar panels and wind turbines. The research, which looked at extensive heat and cold waves across the six interconnected energy grid regions of the U.S. from 1980-2021, also found that every region experienced power outages during these events in the past decade. The findings suggest that using more renewable energy at these times could help offset increased power demand as more people and businesses turn on heaters or air conditioners.

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Researchers have successfully transformed CO2 into methanol by shining sunlight on single atoms of copper deposited on a light-activated material, a discovery that paves the way for creating new green fuels.

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Pairing cryptocurrency mining -- notable for its outsize consumption of carbon-based fuel -- with green hydrogen could provide the foundation for wider deployment of renewable energy, such as solar and wind power, according to a new study.

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Scientists published the Cascaded Variational Quantum Eigensolver (CVQE) algorithm in a recent article, expected to become a powerful tool to investigate the physical properties in electronic systems.

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Researchers have brought together two Nobel prize-winning research concepts to advance the field of quantum communication. Scientists can now efficiently produce nearly perfect entangled photon pairs from quantum dot sources.

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Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers have developed a novel algorithm called post-processing variationally scheduled quantum algorithm. The novelty of this innovative algorithm lies in the use of a post-processing technique combined with variational scheduling to achieve high-quality solutions to COPs in a short time.

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Annealing processors are crucial for solving combinatorial optimization problems. However, they face scalability challenges due to the complexity of required architecture. TUS researchers have now designed a scalable, fully-coupled processor with 4096 spins and parallel processing capabilities. It demonstrates superior performance and power efficiency compared to traditional devices. The research team aims to develop a 2050-level quantum computer computing system by 2030, potentially revolutionizing digital industries without relying on extensive infrastructure or cloud support.

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Engineers have discovered a new way to manufacture solar cells using perovskite semiconductors. It could lead to lower-cost, more efficient systems for powering homes, cars, boats and drones.

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Scientists introduce superaerophobic three-dimensional nickel nanostructured catalysts for accelerated water electrolysis.

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Researchers have recently published FreeDTS -- a shared software package designed to model and study biological membranes at the mesoscale -- the scale 'in between' the larger macro level and smaller micro level. This software fills an important missing software among the available biomolecular modeling tools and enables modeling and understanding of many different biological processes involving the cellular membranes e.g. cell division.

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A research team has developed an n-channel diamond MOSFET (metal-oxide-semiconductor field-effect transistor). The developed n-channel diamond MOSFET provides a key step toward CMOS (complementary metal-oxide-semiconductor: one of the most popular technologies in the computer chip) integrated circuits for harsh-environment- applications as well as the development of diamond power electronics.

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Artificial intelligence can spot COVID-19 in lung ultrasound images much like facial recognition software can spot a face in a crowd, new research shows. The findings boost AI-driven medical diagnostics and bring health care professionals closer to being able to quickly diagnose patients with COVID-19 and other pulmonary diseases with algorithms that comb through ultrasound images to identify signs of disease.

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Researchers have invented a new method by which classical computers can measure the error rates of quantum machines without having to fully simulate them.

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Quantum computers promise to tackle some of the most challenging problems facing humanity today. While much attention has been directed towards the computation of quantum information, the transduction of information within quantum networks is equally crucial in materializing the potential of this new technology. Addressing this need, a research team is now introducing a new approach for transducing quantum information: the team has manipulated quantum bits, so called qubits, by harnessing the magnetic field of magnons -- wave-like excitations in a magnetic material -- that occur within microscopic magnetic disks.

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Physicists show how patterns can emerge from chaos in turbulent fluids.

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Researchers have called for a more considered approach when embedding ethical principles in the development and governance of AI for children.

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A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19.

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In a new study, researchers describe a novel approach for a wireless communication network that can efficiently transmit, receive and decode data from thousands of microelectronic chips that are each no larger than a grain of salt.

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In a step toward nanofluidic-based neuromorphic -- or brain-inspired -- computing, engineers have succeeded in executing a logic operation by connecting two chips that use ions, rather than electrons, to process data.