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Categories: Energy: Alternative Fuels, Mathematics: Modeling
Published Method prevents an AI model from being overconfident about wrong answers



Thermometer, a new calibration technique tailored for large language models, can prevent LLMs from being overconfident or underconfident about their predictions. The technique aims to help users know when a model should be trusted.
Published Demographics of north African human populations unravelled using genomic data and artificial intelligence



A new study places the origin of the Imazighen in the Epipaleolithic, more than twenty thousand years ago. The research concludes that the genetic origin of the current Arab population of north Africa is far more recent than previously believed, placing it in the seventh century AD. The team has designed an innovative demographic model that uses artificial intelligence to analyze the complete genomes of the two populations.
Published Engineering researchers crack the code to boost solar cell efficiency and durability



Photovoltaic (PV) technologies, which convert light into electricity, are increasingly applied worldwide to generate renewable energy. Researchers have now developed a molecular treatment that significantly enhances the efficiency and durability of perovskite solar cells. Their breakthrough will potentially accelerate the large-scale production of this clean energy.
Published Researchers explore the potential of clean energy markets as a hedging tool



Clean energy investments offer potential stability and growth, especially during volatile market conditions. A recent study explored the relationship between clean energy markets and global stock markets. Significant spillovers were observed from major indices like the SP500 to markets such as Japan's Nikkei225 and Global Clean Energy Index. These interactions suggest opportunities for optimizing investment portfolios and leveraging clean energy assets as hedging tools in volatile market environments.
Published More electricity from the sun



A coating of solar cells with special organic molecules could pave the way for a new generation of solar panels. This coating can increase the efficiency of monolithic tandem cells made of silicon and perovskite while lowering their cost -- because they are produced from industrial, microstructured, standard silicon wafers.
Published Breaking MAD: Generative AI could break the internet, researchers find



Researchers have found that training successive generations of generative artificial intelligence models on synthetic data gives rise to self-consuming feedback loops.
Published When allocating scarce resources with AI, randomization can improve fairness



Researchers argue that, in some situations where machine-learning models are used to allocate scarce resources or opportunities, randomizing decisions in a structured way may lead to fairer outcomes.
Published New understanding of fly behavior has potential application in robotics, public safety



Scientists have identified an automatic behavior in flies that helps them assess wind conditions -- its presence and direction -- before deploying a strategy to follow a scent to its source. The fact that they can do this is surprising -- can you tell if there's a gentle breeze if you stick your head out of a moving car? Flies aren't just reacting to an odor with a preprogrammed response: they are responding in context-appropriate manner. This knowledge potentially could be applied to train more sophisticated algorithms for scent-detecting drones to find the source of chemical leaks.
Published Fresh light on the path to net zero



Researchers have used magnetic fields to reveal the mystery of how light particles split. Scientists are closer to giving the next generation of solar cells a powerful boost by integrating a process that could make the technology more efficient by breaking particles of light photons into small chunks.
Published Climate change will bring more turbulence to flights in the Northern Hemisphere, study finds



A type of invisible, unpredictable air turbulence is expected to occur more frequently in the Northern Hemisphere as the climate warms. Known as clear air turbulence, the phenomenon also increased in the Northern Hemisphere between 1980 and 2021.
Published Indoor solar cells that maximize the use of light energy



Chemists have synthesized materials that can improve solar elements for indoor use. Such photovoltaic cells, which can also be integrated into various electronic devices, generate electricity even in low-light conditions.
Published A recipe for zero-emissions fuel: Soda cans, seawater, and caffeine



Engineers discovered that when the aluminum in soda cans is purified and mixed with seawater, the solution produces hydrogen -- which can power an engine or fuel cell without generating carbon emissions. The reaction can be sped up by adding caffeine.
Published Better way to produce green hydrogen



Researchers have developed a material that shows a remarkable ability to convert sunlight and water into clean energy.
Published Raindrops grow with turbulence in clouds



Tackling a long-time mystery, scientists have found that the turbulent movements of air in clouds play a key role in the growth of water droplets and the initiation of rain. The research can improve computer model simulations of weather and climate and ultimately lead to better forecasts.
Published Can a computer tell patients how their multiple sclerosis will progress?



Machine learning models can reliably inform clinicians about the disability progression of multiple sclerosis, according to a new study published this week in the open-access journal PLOS Digital Health by Edward De Brouwer of KU Leuven, Belgium, and colleagues.
Published A single-molecule-based organic porous material with great potential for efficient ammonia storage



Novel porous crystalline solid shows promise as an efficient and durable material for ammonia (NH3) capture and storage, report scientists. Made through a simple reprecipitation process, the proposed organic compound can reversibly adsorb and release NH3 via simple pressurization and decompression at room temperature. Its stability and cost-effectiveness make this material a promising energy carrier for future hydrogen economies.
Published Large language models don't behave like people, even though we may expect them to



People generalize to form beliefs about a large language model's performance based on what they've seen from past interactions. When an LLM is misaligned with a person's beliefs, even an extremely capable model may fail unexpectedly when deployed in a real-world situation.
Published Manufacturing perovskite solar panels with a long-term vision



Researchers working at the forefront of an emerging photovoltaic (PV) technology are thinking ahead about how to scale, deploy, and design future solar panels to be easily recyclable. Solar panels made of perovskites may eventually play an important role amid global decarbonization efforts to reduce greenhouse gas emissions. As the technology emerges from the testing stages, it is a perfect time to think critically about how best to design the solar panels to minimize their impact on the environment decades from now.
Published 3D-printed microstructure forest facilitates solar steam generator desalination



Faced with the world's impending freshwater scarcity, researchers turned to solar steam generators, which are emerging as a promising device for seawater desalination. The team sought design inspiration from trees and harnessed the potential of 3D printing. They present technology for producing efficient SSGs for desalination and introduces a novel method for printing functional nanocomposites for multi-jet fusion. Their SSGs were inspired by plant transpiration and are composed of miniature tree-shaped microstructures, forming an efficient, heat-distributing forest.
Published Risks and benefits of integrating AI into medical decision-making



Researchers found that an artificial intelligence (AI) model solved medical quiz questions -- designed to test health professionals' ability to diagnose patients based on clinical images and a brief text summary -- with high accuracy. However, physician-graders found the AI model made mistakes when describing images and explaining how its decision-making led to the correct answer.