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Categories: Energy: Alternative Fuels, Mathematics: Modeling

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From Wi-Fi-connected home security systems to smart toilets, the so-called Internet of Things brings personalization and convenience to devices that help run homes. But with that comes tangled electrical cords or batteries that need to be replaced. Now, researchers have brought solar panel technology indoors to power smart devices. They show which photovoltaic (PV) systems work best under cool white LEDs, a common type of indoor lighting.

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Scientists used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.

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Researchers have developed a monolithically integrated photo battery using organic materials. The photo battery achieves an unprecedented high discharge potential of 3.6 volts. The system is capable of powering miniature devices.

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First of its kind AI-model can help policy-makers efficiently identify and prioritize houses for retrofitting and other decarbonizing measures.

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Researchers report that 53% of European freestanding homes could have supplied all their own energy needs in 2020 using only local rooftop solar radiation, and this technical feasibility could increase to 75% in 2050. The study shows that there is no economic advantage for individual households to be fully self-sufficient under current or future conditions, though in some cases the costs are on par with remaining on-grid. The researchers estimate that self-sufficiency will be economically feasible for 5% (two million) of Europe's 41 million freestanding single-family homes in 2050, if households are willing to pay up to 50% more than the cost of remaining fully grid dependent.

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At the interface of water and air, light can, in certain conditions, bring about evaporation without the need for heat, according to a new study.

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A new database contains the results of exposure experiments on solar reflectors conducted over more than four decades. The publicly available Solar Mirror Materials Database (SMMD) will contain information from thousands of solar mirror samples from more than a hundred suppliers that have been subjected to outdoor tests and laboratory environments.

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Formic acid, which can be produced electrochemically from carbon dioxide, is a promising energy carrier. A research team has now developed a fast-charging hybrid battery system that combines the electrochemical generation of formic acid as an energy carrier with a microbial fuel cell. This novel, fast-charging biohybrid battery system can be used to monitor the toxicity of drinking water, just one of many potential future applications.

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New studies support the idea that the brain uses a process similar to a machine-learning approach known as 'self-supervised learning.' This type of machine learning allows computational models to learn about visual scenes based solely on the similarities and differences between them, with no labels or other information.

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Researchers developed an efficient process that can convert carbon dioxide into formate, a nonflammable liquid or solid material that can be used like hydrogen or methanol to power a fuel cell and generate electricity.

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To quickly and accurately characterize prospective materials for use in solar energy, researchers built an automated system to perform laboratory experiments and used machine learning to help analyze the data they recorded. Their goal is to identify semiconductor materials for use in photovoltaic solar energy, which are highly efficient and have low toxicity.

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There are high hopes for hydrogen as the key to the energy transition. A specific enzyme group found in algae and in bacteria can produce molecular hydrogen simply by catalyzing protons and electrons. However, the enzyme group is so sensitive to oxygen that commercial use of the hydrogen produced by this process as a green energy source is not yet possible. Researchers have now increased the oxygen stability of a hydrogen-producing enzyme by genetically generated channel blockages.

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Large geomagnetic storms disrupt radio signals and GPS. Now, researchers have identified the previous underestimated role of the ionosphere, a region of Earth's upper atmosphere that contains a high concentration of ions and free electrons, in determining how such storms develop. Understanding the interactions that cause large geomagnetic storms is important because they can disrupt radio signals and GPS. Their findings may help predict storms with the greatest potential consequences.

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As urbanization advances around the globe, the quality of the urban physical environment will become increasingly critical to human well-being and to sustainable development initiatives. However, measuring and tracking the quality of an urban environment, its evolution and its spatial disparities is difficult due to the amount of on-the-ground data needed to capture these patterns.

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Using a new 3D printing technique, researchers have developed special ceramic structures for a solar reactor. Initial experimental testing show that these structures can boost the production yield of solar fuels.

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Researchers have developed a new hydrogen energy carrier material capable storing hydrogen energy efficiently and potentially more cheaply. Each molecule can store one electron from hydrogen at room temperature, store it for up the three months, and can be its own catalyst to extract said electron. Moreover, as the compound is made primarily of nickel, its cost is relatively low.

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Researchers report that a single, simplified model can predict population fluctuations in three unrelated realms: urban employment, human gut microbiomes and tropical forests. The model will help economists, ecologists, public health authorities and others predict and respond to variability in multiple domains.

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Next-generation solar materials are cheaper and more sustainable to produce than traditional silicon solar cells, but hurdles remain in making the devices durable enough to withstand real-world conditions. A new technique could simplify the development of efficient and stable perovskite solar cells, named for their unique crystalline structure that excels at absorbing visible light.

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A huge step forward in the evolution of perovskite solar cells will have significant implications for renewable energy development.

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A new study reveals the pitfalls of deep generative models when they are tasked with solving engineering design problems. The researchers say if mechanical engineers want help from AI for novel ideas and designs, they'll have to refocus those models beyond 'statistical similarity.'