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Categories: Mathematics: Modeling
Published New atomic-scale understanding of catalysis could unlock massive energy savings
(via sciencedaily.com) Original source In an advance they consider a breakthrough in computational chemistry research, chemical engineers have developed a model of how catalytic reactions work at the atomic scale. This understanding could allow engineers and chemists to develop more efficient catalysts and tune industrial processes -- potentially with enormous energy savings, given that 90% of the products we encounter in our lives are produced, at least partially, via catalysis.
Published Random matrix theory approaches the mystery of the neutrino mass
(via sciencedaily.com) Original source Scientists analyzed each element of the neutrino mass matrix belonging to leptons and showed theoretically that the intergenerational mixing of lepton flavors is large. Furthermore, by using the mathematics of random matrix theory, the research team was able to demonstrate, as much as is possible at this stage, why the calculation of the squared difference of the neutrino masses are in close agreement with the experimental results in the case of the seesaw model with the random Dirac and Majorana matrices. The results of this research are expected to contribute to the further development of particle theory research, which largely remains a mystery.
Published New details of SARS-COV-2 structure
(via sciencedaily.com) Researchers used computational modeling to reveal finer details surrounding the outer shell of the COVID-19 virus. The work expands the scientific community's understanding of SARS-COV-2, and could lead to more refined antiviral therapies and better vaccines.
Published Can AI predict how you'll vote in the next election?
(via sciencedaily.com) Artificial intelligence technologies like ChatGPT are seemingly doing everything these days: writing code, composing music, and even creating images so realistic you'll think they were taken by professional photographers. Add thinking and responding like a human to the conga line of capabilities. A recent study proves that artificial intelligence can respond to complex survey questions just like a real human.
Published AI could set a new bar for designing hurricane-resistant buildings
(via sciencedaily.com) Being able to withstand hurricane-force winds is the key to a long life for many buildings on the Eastern Seaboard and Gulf Coast of the U.S. Determining the right level of winds to design for is tricky business, but support from artificial intelligence may offer a simple solution.
Published Machine learning model helps forecasters improve confidence in storm prediction
(via sciencedaily.com) When severe weather is brewing and life-threatening hazards like heavy rain, hail or tornadoes are possible, advance warning and accurate predictions are of utmost importance. Weather researchers have given storm forecasters a powerful new tool to improve confidence in their forecasts and potentially save lives. Over the last several years, Russ Schumacher, professor in the Department of Atmospheric Science and Colorado State Climatologist, has led a team developing a sophisticated machine learning model for advancing skillful prediction of hazardous weather across the continental United States. First trained on historical records of excessive rainfall, the model is now smart enough to make accurate predictions of events like tornadoes and hail four to eight days in advance -- the crucial sweet spot for forecasters to get information out to the public so they can prepare. The model is called CSU-MLP, or Colorado State University-Machine Learning Probabilities.
Published Could changes in Fed's interest rates affect pollution and the environment?
(via sciencedaily.com) Can monetary policy such as the U.S. Federal Reserve raising interest rates affect the environment? According to a new study, it can. Results suggest that the impact of monetary policy on pollution is basically domestic: a monetary contraction or reduction in a region reduces its own emissions, but this does not seem to spread out to other economies. However, the findings do not imply that the international economy is irrelevant to determining one region's emissions level. The actions of a country, like the U.S., are not restricted to its borders. For example, a positive shock in the Federal Reserve's monetary policy may cause adjustments in the whole system, including the carbon emissions of the other regions.
Published Modelling superfast processes in organic solar cell material
(via sciencedaily.com) In organic solar cells, carbon-based polymers convert light into charges that are passed to an acceptor. Scientists have now calculated how this happens by combining molecular dynamics simulations with quantum calculations and have provided theoretical insights to interpret experimental data.
Published Researcher solves nearly 60-year-old game theory dilemma
(via sciencedaily.com) A researcher has solved a nearly 60-year-old game theory dilemma called the wall pursuit game, with implications for better reasoning about autonomous systems such as driver-less vehicles.
Published Fighting intolerance with physics
(via sciencedaily.com) In a world experiencing growing inequality and intolerance, tools borrowed from science and mathematics could be the key to understanding and preventing prejudice. Experts apply evolutionary game theory, which combines techniques from economics and biology, and complex system analysis to investigate the relationship between inequality and intolerance. They found that inequality boosts intolerance and that redistribution of wealth can prevent its infectious spread.
Published What if California didn't close down during the pandemic?
(via sciencedaily.com) Using a novel economic-epidemiological model, researchers examine the health and economic impacts that could have occurred if California took a 'business-as-usual' approach to the COVID-19 pandemic.
Published News you can use -- to better predict food crisis outbreaks
(via sciencedaily.com) A team of researchers has developed a machine learning model that draws from the contents of news articles to effectively predict locations that face risks of food insecurity. The model, which could be used to help prioritize the allocation of emergency food assistance across vulnerable regions, marks an improvement over existing measurements.
Published Stick to your lane: Hidden order in chaotic crowds
(via sciencedaily.com) Mathematical research brings new understanding of crowd formation and behavior.
Published Think you're good at math? Study shows it may be because you had equitable math teachers
(via sciencedaily.com) A new study finds that high school students identify more with math if they see their math teacher treating everyone in the class equitably, especially in racially diverse schools. While the relationship between teacher equity and math identity was evident across races, there was an interesting exception. Black students, in general, had strong math identities, regardless of their teacher's actions. Learning about the factors that affect student math identity is important because a student's attitude towards the subject influences the courses that they take as well as their future career selections. This study suggests that teachers may have a larger role to play in helping students develop a positive math identity than previously recognized.
Published Artificial Intelligence from a psychologist's point of view
(via sciencedaily.com) Researchers test cognitive abilities of the language model GPT-3.
Published How to predict city traffic
(via sciencedaily.com) A new machine learning model can predict traffic activity in different zones of cities. To do so, a researcher used data from a main car-sharing company in Italy as a proxy for overall city traffic. Understanding how different urban zones interact can help avoid traffic jams, for example, and enable targeted responses of policy makers -- such as local expansion of public transportation.
Published Reaching like an octopus: A biology-inspired model opens the door to soft robot control
(via sciencedaily.com) Octopus arms coordinate nearly infinite degrees of freedom to perform complex movements such as reaching, grasping, fetching, crawling, and swimming. How these animals achieve such a wide range of activities remains a source of mystery, amazement, and inspiration. Part of the challenge comes from the intricate organization and biomechanics of the internal muscles.
Published MoBIE enables modern microscopy with massive data sets
(via sciencedaily.com) High-resolution microscopy techniques, for example electron microscopy or super-resolution microscopy, produce huge amounts of data. The visualization, analysis and dissemination of such large imaging data sets poses significant challenges. Now, these tasks can be carried out using MoBIE, which stands for Multimodal Big Image Data Exploration, a new user-friendly, freely available tool. This means that researchers such as biologists, who rely on high-resolution microscopy techniques, can incorporate multiple data sets to study the processes of life at the very smallest scales.
Published Theory can sort order from chaos in complex quantum systems
(via sciencedaily.com) Theoretical chemists have developed a theory that can predict the threshold at which quantum dynamics switches from 'orderly' to 'random,' as shown through research using large-scale computations on photosynthesis models.
Published Digital markers near-perfect for predicting dementia in older drivers
(via sciencedaily.com) Using ensemble learning techniques and longitudinal data from a large naturalistic driving study, researchers have developed a novel, interpretable and highly accurate algorithm for predicting mild cognitive impairment and dementia in older drivers. Digital markers refer to variables generated from data captured through recording devices in the real-world setting. These data could be processed to measure driving behavior, performance and tempo-spatial pattern in exceptional detail.