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Categories: Energy: Alternative Fuels, Mathematics: Modeling
Published What if California didn't close down during the pandemic?


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 Flat plate bow covers pave way for more economical shipping by improving ship aerodynamics


Ships are the main modes of transport for global trade as they are efficient and effective. Improving the aerodynamic performance of ship could reduce fuel consumption and improve speed, further improving the economics of shipping. Recently, researchers from have demonstrated that flat plate bow covers on ships can reduce overall wind drag in ships by nearly 40%, which could lead to enormous fuel savings.
Published News you can use -- to better predict food crisis outbreaks


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


Mathematical research brings new understanding of crowd formation and behavior.
Published Catalyst purifies herbicide-tainted water and produces hydrogen


Researchers have developed a dual-purpose catalyst that purifies herbicide-tainted water while also producing hydrogen.
Published Think you're good at math? Study shows it may be because you had equitable math teachers


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


Researchers test cognitive abilities of the language model GPT-3.
Published How to predict city traffic


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 Corralling ions improves viability of next generation solar cells


Researchers have discovered that channeling ions into defined pathways in perovskite materials improves the stability and operational performance of perovskite solar cells. The finding paves the way for a new generation of lighter, more flexible, and more efficient solar cell technologies suitable for practical use.
Published Reaching like an octopus: A biology-inspired model opens the door to soft robot control


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


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


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


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.
Published Research team creates statistical model to predict COVID-19 resistance


Researchers have created and preliminarily tested what they believe may be one of the first models for predicting who has the highest probability of being resistant to COVID-19 in spite of exposure to SARS-CoV-2, the virus that causes it.
Published Salt could play key role in energy transition


A common ingredient -- salt -- could have a big role to play in the energy transition to lower carbon energy sources. A study describes how large underground salt deposits could serve as hydrogen holding tanks, conduct heat to geothermal plants, and influence CO2 storage. It also highlights how industries with existing salt expertise, such as solution mining, salt mining, and oil and gas exploration, could help.
Published Nanoparticles self-assemble to harvest solar energy


Researchers design a solar harvester with enhanced energy conversion capabilities. The device employs a quasiperiodic nanoscale pattern, meaning most of it is an alternating and consistent pattern, while the remaining portion contains random defects that do not affect its performance. The fabrication process makes use of self-assembling nanoparticles, which form an organized material structure based on their interactions with nearby particles without any external instructions. Thermal energy harvested by the device can be transformed to electricity using thermoelectric materials.
Published Beyond memorization: Text generators may plagiarize beyond 'copy and paste'


Language models that generate text in response to user prompts plagiarize content in more ways than one, according to a research team that conducted a study to directly examine the phenomenon.
Published Perovskites, a 'dirt cheap' alternative to silicon, just got a lot more efficient


Researchers typically synthesize perovskites in a wet lab, and then apply the material as a film on a glass substrate and explore various applications. A team has instead proposes a novel, physics-based approach, using a substrate of either a layer of metal or alternating layers of metal and dielectric material -- rather than glass.
Published Physicists solve durability issue in next-generation solar cells


Physicists jumped a major hurdle standing in the way of the commercialization of solar cells created with halide perovskites as a lower-cost, higher-efficiency replacement for silicon when generating electricity from the sun.
Published AI analyzes cell movement under the microscope


Using artificial intelligence (AI), researchers can now follow cell movement across time and space. The method could be very helpful for developing more effective cancer medications.