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Categories: Energy: Alternative Fuels, Mathematics: Modeling

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Boosting virtual screening with machine learning allowed for a 10-fold time reduction in the processing of 1.56 billion drug-like molecules. Researchers teamed up with industry and supercomputers to carry out one of the world's largest virtual drug screens.

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A research team has successfully developed a new method that can prevent the crossover of large fuel molecules and suppress the degradation of electrodes in advanced fuel cell technology using methanol or formic acid. The successful sieving of the fuel molecules is achieved via selective proton transfers due to steric hindrance on holey graphene sheets that have chemical functionalization and act as proton-exchange membranes.

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Scientists develop computer models of patients' eyes to identify the ideal intraocular lenses and visual simulators for patients to experience how they will see with them.

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As renewable energy sources like wind and solar ramp up, they can be used to sustainably generate hydrogen fuel. But implementing such a strategy on a large scale requires land and water dedicated to this purpose.

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Scientists and industry leaders worldwide are looking for answers on how to make aviation sustainable by 2050 and choosing a viable sustainable fuel is a major sticking point. Aerospace engineers took a full inventory of the options to make a data-driven assessment about how they stack up in comparison. He reviewed over 300 research projects from across different sectors, not just aerospace, to synthesize the ideas and draw conclusions to help direct the dialogue about sustainable aviation toward a permanent solution.

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A scientific breakthrough brings mass production of the next generation of cheaper and lighter perovskite solar cells one step closer.

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As summer turns to fall, many people will be turning off the air conditioning and firing up heaters instead. But traditional heating and cooling systems are energy intensive, and because they typically run on fossil fuels, they aren't sustainable. Now, by mimicking a desert-dwelling chameleon, a team has developed an energy-efficient, cost-effective coating. The material could keep buildings cool in the summers -- or warm in the winters -- without additional energy.

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A research team has achieved a significant breakthrough in the development of a hybrid silicon photocatalyst.

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Multi-story buildings are assembled over-cautiously to withstand wind strengths, researchers have found.

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Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.

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Storing renewable energy as hydrogen could soon become much easier thanks to a new catalyst based on single atoms of platinum.

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The output of wind turbines can rise or fall by 50 per cent in a matter of seconds. Such fluctuations in the megawatt range put a strain on both power grids and the turbines themselves. A new study presents a new stochastic method that could help to mitigate these sudden swings and achieve a more consistent electricity production.

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Consumer confidence in driving hydrogen-fueled vehicles could be improved by having station operators adopt a predictive model that helps them anticipate maintenance needs, according to researchers.

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Achieving photochemical upconversion in a solid state is a step closer to reality, thanks to a new technique that could unlock vital innovations in renewable energy, water purification and advanced healthcare.

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A major new study has revealed that American teenagers are more likely than any other nationality to brag about their math ability.

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With Style2Fab, makers can rapidly customize models of 3D-printable objects, such as assistive devices, without hampering their functionality.

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The era of artificial-intelligence chatbots that seem to understand and use language the way we humans do has begun. Under the hood, these chatbots use large language models, a particular kind of neural network. But a new study shows that large language models remain vulnerable to mistaking nonsense for natural language. To a team of researchers, it's a flaw that might point toward ways to improve chatbot performance and help reveal how humans process language.

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Researchers have found a way to harvest hydrogen from plastic waste using a low-emissions method that generates graphene as a by-product, which could help offset production costs.

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Scientists have confirmed that human brains are naturally wired to perform advanced calculations, much like a high-powered computer, to make sense of the world through a process known as Bayesian inference.

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To address the lack of suitable training data for deep-learning semantic segmentation models in urban landscaping, researchers developed a method that generates a training dataset without the need for real images or a model of an existing city. The method, which is based on procedural modelling and image-to-image techniques, enables segmentation models to achieve comparable performance under some conditions at a fraction of the cost of real dataset generation.