Showing 20 articles starting at article 121
< Previous 20 articles Next 20 articles >
Categories: Energy: Alternative Fuels, Mathematics: Modeling
Published Low-energy process for high-performance solar cells
(via sciencedaily.com) Original source Finding reliable, eco-friendly power sources is crucial as our world grapples with increasing energy needs and the urgent call to combat climate change. Solar energy offers one solution, with scientists devising ever more efficient materials for capturing sunlight.
Published Researchers use foundation models to discover new cancer imaging biomarkers
(via sciencedaily.com) Original source Researchers have harnessed the technology behind foundation models, which power tools like ChatGPT, to discover new cancer imaging biomarkers that could transform how patterns are identified from radiological images. Improved identification of such patterns can greatly impact the early detection and treatment of cancer.
Published Why getting in touch with our 'gerbil brain' could help machines listen better
(via sciencedaily.com) Original source Researchers have debunked a 75-year-old theory about how humans determine where sounds are coming from, and it could unlock the secret to creating a next generation of more adaptable and efficient hearing devices ranging from hearing aids to smartphones.
Published Path to easier recycling of solar modules
(via sciencedaily.com) Original source The use of femtosecond lasers to form glass-to-glass welds for solar modules would make the panels easier to recycle, according to a proof-of-concept study.
Published Toxic chemicals can be detected with new AI method
(via sciencedaily.com) Original source Researchers have developed an AI method that improves the identification of toxic chemicals -- based solely on knowledge of the molecular structure. The method can contribute to better control and understanding of the ever-growing number of chemicals used in society, and can also help reduce the amount of animal tests.
Published New computer algorithm supercharges climate models and could lead to better predictions of future climate change
(via sciencedaily.com) Original source A study describes a new computer algorithm which can be applied to Earth System Models to drastically reduce the time needed to prepare these in order to make accurate predictions of future climate change. During tests on models used in IPCC simulations, the algorithm was on average 10 times faster at spinning up the model than currently-used approaches, reducing the time taken to achieve equilibrium from many months to under a week.
Published Improved AI process could better predict water supplies
(via sciencedaily.com) Original source A new computer model uses a better artificial intelligence process to measure snow and water availability more accurately across vast distances in the West, information that could someday be used to better predict water availability for farmers and others. The researchers predict water availability from areas in the West where snow amounts aren't being physically measured.
Published Scientists harness the wind as a tool to move objects
(via sciencedaily.com) Original source Researchers have developed a technique to move objects around with a jet of wind. The new approach makes it possible to manipulate objects at a distance and could be integrated into robots to give machines ethereal fingers.
Published Physicists show that light can generate electricity even in translucent materials
(via sciencedaily.com) Original source Some materials are transparent to light of a certain frequency. When such light is shone on them, electrical currents can still be generated, contrary to previous assumptions. Scientists have managed to prove this.
Published From disorder to order: Flocking birds and 'spinning' particles
(via sciencedaily.com) Original source Researchers have demonstrated that ferromagnetism, an ordered state of atoms, can be induced by increasing particle motility and that repulsive forces between atoms are sufficient to maintain it. The discovery not only extends the concept of active matter to quantum systems but also contributes to the development of novel technologies that rely on the magnetic properties of particles, such as magnetic memory and quantum computing.
Published AI deciphers new gene regulatory code in plants and makes accurate predictions for newly sequenced genomes
(via sciencedaily.com) Original source Elucidating the relationship between the sequences of non-coding regulatory elements and their target genes is key to understanding gene regulation and its variation between plant species and ecotypes. Now, an international research team developed deep learning models that link gene sequence data with mRNA copy number for several plant species and predicted the regulatory effect of gene sequence variation.
Published New offshore wind turbines can take away energy from existing ones
(via sciencedaily.com) Original source Interactions between wind turbines could reduce power output by 30% in proposed offshore wind farm areas along the East Coast, new research has found. In all, the farms could still meet 60% of the electricity demand of New England.
Published Key to efficient and stable organic solar cells
(via sciencedaily.com) Original source A team of researchers has made a significant breakthrough in the field of organic photovoltaics.
Published Positive perceptions of solar projects
(via sciencedaily.com) Original source A new survey has found that for residents living within three miles of a large-scale solar development, positive attitudes outnumbered negative attitudes by almost a 3-to-1 margin. Researchers surveyed almost 1,000 residents living near solar projects.
Published Artificial intelligence can develop treatments to prevent 'superbugs'
(via sciencedaily.com) Original source Cleveland Clinic researchers developed an artficial intelligence (AI) model that can determine the best combination and timeline to use when prescribing drugs to treat a bacterial infection, based solely on how quickly the bacteria grow given certain perturbations. PNAS recently published their findings.
Published AI tool creates 'synthetic' images of cells for enhanced microscopy analysis
(via sciencedaily.com) Original source Researchers have developed a method to use an image generation AI model to create realistic images of single cells, which are then used as 'synthetic data' to train an AI model to better carry out single-cell segmentation.
Published New sensing checks for 3D printed products could overhaul manufacturing sector
(via sciencedaily.com) Original source A sensing technology that can assess the quality of components in fields such as aerospace could transform UK industry.
Published Predicting cardiac arrhythmia 30 minutes before it happens
(via sciencedaily.com) Original source Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This irregular heartbeat is associated with increased risks of heart failure, dementia and stroke. It constitutes a significant burden to healthcare systems, making its early detection and treatment a major goal. Researchers have recently developed a deep-learning model capable of predicting the transition from a normal cardiac rhythm to atrial fibrillation. It gives early warnings on average 30 minutes before onset, with an accuracy of around 80%. These results pave the way for integration into wearable technologies, allowing early interventions and better patient outcomes.
Published AI weather forecasts captured Ciaran's destructive path
(via sciencedaily.com) Original source The study highlights the rapid progress and transformative potential of AI in weather prediction.
Published A flexible and efficient DC power converter for sustainable-energy microgrids
(via sciencedaily.com) Original source A new DC-DC power converter is superior to previous designs and paves the way for more efficient, reliable and sustainable energy storage and conversion solutions. The development can efficiently interface with a wide range of energy sources while enhancing system stability and simplicity at an unprecedented efficiency.