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Categories: Chemistry: Thermodynamics, Mathematics: Modeling
Published Bendable energy storage materials by cool science
(via sciencedaily.com) Original source Imaging being able to wear clothes that charge your gadgets just by wearing them. New research has brought us a step closer to achieving this reality.
Published Using light to produce medication and plastics more efficiently
(via sciencedaily.com) Original source Anyone who wants to produce medication, plastics or fertilizer using conventional methods needs heat for chemical reactions -- but not so with photochemistry, where light provides the energy. The process to achieve the desired product also often takes fewer intermediate steps. Researchers are now going one step further and are demonstrating how the energy efficiency of photochemical reactions can be increased tenfold. More sustainable and cost-effective applications are now tantalizingly close.
Published New technique helps AI tell when humans are lying
(via sciencedaily.com) Original source Researchers have developed a new training tool to help artificial intelligence (AI) programs better account for the fact that humans don't always tell the truth when providing personal information. The new tool was developed for use in contexts when humans have an economic incentive to lie, such as applying for a mortgage or trying to lower their insurance premiums.
Published Advance for soft robotics manufacturing, design
(via sciencedaily.com) Original source Engineers propose a new quantitative framework to account for and predict the impact of temperature on the curing speed of platinum-catalyzed silicone elastomers. The findings could maximize throughput and minimize waste in the manufacturing of components for soft robotics and wearables.
Published Revolutionary method developed for mass-producing polymer solid electrolytes
(via sciencedaily.com) Original source Scientists have unveiled a groundbreaking technique for mass-producing polymer solid electrolytes, crucial components in batteries.
Published Vac to the future
(via sciencedaily.com) Original source Scientists recently published the results of a competition that put researchers to the test. For the competition, part of the NIH-funded Computational Models of Immunity network, teams of researchers from different institutions offered up their best predictions regarding B. pertussis (whooping cough) vaccination.
Published AI for astrophysics: Algorithms help chart the origins of heavy elements
(via sciencedaily.com) Original source The origin of heavy elements in our universe is theorized to be the result of neutron star collisions, which produce conditions hot and dense enough for free neutrons to merge with atomic nuclei and form new elements in a split-second window of time. Testing this theory and answering other astrophysical questions requires predictions for a vast range of masses of atomic nuclei. Scientists are using machine learning algorithms to successfully model the atomic masses of the entire nuclide chart -- the combination of all possible protons and neutrons that defines elements and their isotopes.
Published Supply chain disruptions will further exacerbate economic losses from climate change
(via sciencedaily.com) Original source Global GDP loss from climate change will increase exponentially the warmer the planet gets when its cascading impact on global supply chains is factored in, finds a new study.
Published Researchers develop a new control method that optimizes autonomous ship navigation
(via sciencedaily.com) Original source Existing ship control systems using Model Predictive Control for Maritime Autonomous Surface Ships (MASS) do not consider the various forces acting on ships in real sea conditions. Addressing this gap, researchers developed a novel time-optimal control method, that accounts for the real wave loads acting on a ship, enabling effective planning and control of MASS at sea.
Published Molecular simulations of ammonia mixtures support search for renewable fuels
(via sciencedaily.com) Original source Ammonia is an important molecule with many applications. The end product of the famed Haber-Bosch process, it is commonly synthesized to capture nitrogen for fertilizers, and is used for refrigeration, in cleaning products, and in the production of pharmaceuticals. Recently, this modest molecule has also attracted interest as a potential resource for addressing one of today's most pressing challenges -- the need for reliable and abundant renewable fuels.
Published Spiral wrappers switch nanotubes from conductors to semiconductors and back
(via sciencedaily.com) Original source By wrapping a carbon nanotube with a ribbon-like polymer, researchers were able to create nanotubes that conduct electricity when struck with low-energy light that our eyes cannot see. In the future, the approach could make it possible to optimize semiconductors for applications ranging from night vision to new forms of computing.
Published How do neural networks learn? A mathematical formula explains how they detect relevant patterns
(via sciencedaily.com) Original source Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to healthcare. But these networks remain a black box whose inner workings engineers and scientists struggle to understand. Now, a team has given neural networks the equivalent of an X-ray to uncover how they actually learn.
Published Preventing magnet meltdowns before they can start
(via sciencedaily.com) Original source High-temperature superconductor magnets have the potential to lower the costs of operating particle accelerators and enable powerful new technologies like fusion reactors. But quenches -- the sudden, destructive events wherein a part of the material loses superconductivity -- are a major barrier to their deployment. Scientists have developed an approach to prevent quenches altogether, rather than simply trying to manage them after they occur.
Published Balancing training data and human knowledge makes AI act more like a scientist
(via sciencedaily.com) Original source When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training -- such as the laws of physics --could make them more efficient and more reflective of the real world. However, helping the AI assess the value of different rules can be a tricky task.
Published Method rapidly verifies that a robot will avoid collisions
(via sciencedaily.com) Original source A new safety-check technique can prove with 100 percent accuracy that a planned robot motion will not result in a collision. The method can generate a proof in seconds and does so in a way that can be easily verified by a human.
Published Running performance helped by mathematical research
(via sciencedaily.com) Original source A new mathematical model has shown, with great precision, the impact that physiological and psychological parameters have on running performance and provides tips for optimized training.
Published New AI model draws treasure maps to diagnose disease
(via sciencedaily.com) Original source Researchers have developed an artificial intelligence model that can accurately identify tumors and diseases in medical images. The tool draws a map to explain each diagnosis, helping doctors follow its line of reasoning, check for accuracy, and explain the results to patients.
Published What math tells us about social dilemmas
(via sciencedaily.com) Original source Human coexistence depends on cooperation. Individuals have different motivations and reasons to collaborate, resulting in social dilemmas, such as the well-known prisoner's dilemma. Scientists now present a new mathematical principle that helps to understand the cooperation of individuals with different characteristics.
Published Improving efficiency, reliability of AI medical summarization tools
(via sciencedaily.com) Original source Medical summarization, a process that uses artificial intelligence (AI) to condense complex patient information, is currently used in health care settings for tasks such as creating electronic health records and simplifying medical text for insurance claims processing. While the practice is intended to create efficiencies, it can be labor-intensive, according researchers who created a new method to streamline the way AI creates these summaries, efficiently producing more reliable results.
Published Plasma scientists develop computer programs that could reduce the cost of microchips and stimulate American manufacturing
(via sciencedaily.com) Original source Fashioned from the same element found in sand and covered by intricate patterns, microchips power smartphones, augment appliances and aid the operation of cars and airplanes. Now, scientists are developing computer simulation codes that will outperform current simulation techniques and aid the production of microchips using plasma, the electrically charged state of matter also used in fusion research. These codes could help increase the efficiency of the manufacturing process and potentially stimulate the renaissance of the chip industry in the United States.