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Categories: Energy: Alternative Fuels, Mathematics: Modeling

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Your early morning run could soon help harvest enough electricity to power your wearable devices, thanks to new nanotechnology.

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An artificial intelligence algorithm can allow researchers to more efficiently use 3D printing to manufacture intricate structures. The development could allow for more seamless use of 3D printing for complex designs in everything from artificial organs to flexible electronics and wearable biosensors. As part of the study, the algorithm learned to identify, and then print, the best versions of kidney and prostate organ models, printing out 60 continually improving versions.

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A new model accurately represents the airflow around rotors, even under extreme conditions. The first comprehensive model of rotor aerodynamics could improve the way turbine blades and wind farms are designed and how wind turbines are controlled.

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Heat waves, droughts, and fires place growing stress on the West's electric grid. New research suggests that more integrated management of electricity resources across the region could significantly reduce the risk of power outages and accelerate the transition to clean energy.

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Artificial intelligence (AI) has exploded in popularity as of late. But just like a human, it's hard to read an AI model's mind. Explainable AI (XAI) could help us do just that by providing justification for a model's decisions. And now, researchers are using XAI to scrutinize predictive AI models more closely, which could help make better antibiotics.

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A new machine learning model can predict autism in young children from relatively limited information. The model can facilitate early detection of autism, which is important to provide the right support.

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A mathematical framework that builds on the economic theory of hidden-action models provides insight into how the unobservable nature of effort and risk shapes investigators' research strategies and the incentive structures within which they work, according to a new study.

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More efficient and longer-lasting fuel cells are essential for fuel cell-powered heavy-duty hydrogen vehicles to be an alternative to combustion fuelled counterparts. Researchers have developed an innovative method to study and understand how parts of fuel cells degrade over time. This is an important step towards the improved performance of fuel cells and them becoming commercially successful.

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Researchers simulated social norms with a supercomputer. Their findings contribute to a deeper understanding of the evolution of social norms and their role in fostering cooperative behavior.

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Researchers discover that while artificial intelligence (AI) tools can make accurate diagnoses from textbook-like descriptions of genetic diseases, the tools are significantly less accurate when analyzing summaries written by patients about their own health. These findings demonstrate the need to improve these AI tools before they can be applied in health care settings to help make diagnoses and answer patient questions.

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Martian landers have been able capture measurements of wind speeds -- some gauging the cooling rate of heated materials when winds blow over them, others using cameras to image 'tell-tales' that blow in the wind -- but there's still room for improvement. Researchers now demonstrate a novel sonic anemometric system featuring a pair of narrow-band piezoelectric transducers to measure the travel time of sound pulses through Martian air. The study accounted for variables including transducer diffraction effects and wind direction.

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Researchers have started to unravel the mysteries of how near-horizontal bowling in cricket leads to such tough-to-hit balls. The team employed a wake survey rake device made of multiple tubes designed to capture the pressure downstream of the ball and examined the flow dynamics of cricket balls rotating up to 2,500 rpm in a wind tunnel. The group found that low-pressure zones expanded and intensified near the ball when spinning, while these zones shifted and diminished downstream. At higher spin rates, the low-pressure zone begins to change to a persistent bilobed shape. The results lend support to the theory that these newer bowling techniques tap into the Magnus effect.

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New research explains the mathematics behind how initial predispositions and additional information affect decision making.

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Large Language Models (LLMs) are entirely controllable through human prompts and lack 'emergent abilities'; that is, the means to form their own insights or conclusions. Increasing model size does not lead LLMs to gain emergent reasoning abilities, meaning they will not develop hazardous abilities and therefore do not pose an existential threat. A new study sheds light on the (until now unexplained) capabilities and shortcomings of LLMs, including the need for carefully engineered prompts to exhibit good performance.

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A new artificial intelligence model can predict how different proteins may bind to DNA.

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A research team has constructed an unprecedented chiral-structured interface in perovskite solar cells, which enhances the reliability and power conversion efficiency of this fast-advancing solar technology and accelerates its commercialization.

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Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use machine learning in computational biology, understanding model behavior remains crucial for uncovering the underlying biological mechanisms in health and disease. Researchers now propose guidelines that outline pitfalls and opportunities for using interpretable machine learning methods to tackle computational biology problems.

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Researchers found that how well light-converting molecules stack together in a solid is important for how well they convert light into electric current. A rigid molecule that stacked well showed excellent electricity generation in an organic solar cell and photocatalyst, easily outperforming a similar flexible molecule that did not stack well. This new way of improving the design of molecules could be used to pioneer the next generation of light-converting devices.

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To protect the Amazon and support the wellbeing of its people, its economy needs to shift from environmentally harmful production to a model built around the diversity of indigenous and rural communities, and standing forests.

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With GROVER, a new large language model trained on human DNA, researchers could now attempt to decode the complex information hidden in our genome. GROVER treats human DNA as a text, learning its rules and context to draw functional information about the DNA sequences.