Articles tagged with Computer Simulation
The University of Texas at El Paso establishes a new Systems Modeling and Simulation concentration, enhancing students' skills in data analytics, computer simulation, and machine learning. The program aims to train students for innovative industries with rapidly changing environments.
Researchers developed a highly efficient wave-based acoustics simulation that can accurately estimate the acoustics of large-scale interior spaces. The method uses a time-domain Finite Element Method to consider frequency-dependent characteristics of sound absorption materials, enabling precise modeling and high-speed estimations.
Researchers at the University of Eastern Finland used molecular modeling to investigate nano-plastic transport into cell membranes. The study found that some microplastics can passively penetrate the membrane, potentially causing adverse health effects.
A team of researchers predicts a new hydrogen compound crystal structure that could achieve superconductivity at high temperatures. The discovery uses computer simulations to identify promising candidates, with one compound showing a transition temperature of 23.3 K at 200 GPa.
Computer simulations found that risks of COVID spread on Underground rail were reduced when ventilation was good and passengers complied with mitigation measures. The model predicted low exposure to the virus through routes such as aerosol inhalation and direct droplet deposition.
Researchers developed a space-warp coordinate transformation (SWCT) method to accurately calculate atomic forces for elements with high atomic numbers. The study used quantum Monte Carlo simulations and found that the SWCT method reduces computational costs, resulting in more accurate calculations.
A Japanese research team successfully estimated the bending energy of disiloxane molecules with state-of-the-art quantum Monte Carlo method, overcoming previous simulation challenges. The method's self-healing property reduced basis-set dependence and bias, enabling accurate results without dependence on parameter choices.
A new simulation suggests that energy released near a black hole's event horizon during magnetic field line reconnection powers the intense flares. The process involves interactions between the magnetic field and material falling into the black hole, releasing hot plasma particles that radiate away as photons.
Researchers at Harvard SEAS developed a new way to simulate tens of thousands of bubbles in foamy flows. This allows for predictive simulations in scales ranging from microfluidics to crashing waves, opening up possibilities for industrial applications such as food production and drug development.
Researchers found that only certain types of planets can form large moons in respect to their host planets. They propose that smaller planets are better candidates to host fractionally large moons. This study provides constraints for future observations and sheds light on the formation of Earth's unique moon.
USC researchers develop highly accurate model to predict Covid-19 risk by combining anonymized cellphone location data with mobility patterns. The system shows a 50% improvement in accuracy compared to current systems, enabling targeted policy decisions at neighborhood or zip code levels.
Researchers have developed a machine learning framework called dynamo that can predict a cell's path over time, including its fate and genetic changes. The tool uses data from individual cells to create mathematical equations describing the cell's trajectory.
Japanese researchers use supercomputer simulations to determine stable ternary hydrides with room-temperature superconductivity. The study identifies potential candidates, including Y-Mg-H systems, and highlights the importance of hydrogen content in superconducting phenomena.
Researchers have successfully created a supramolecular rotor enclosed in a cube-shaped porphyrin cage molecule, showcasing the potential for molecular nanomachines to be controlled remotely. The molecular gyroscope's movements can be triggered by light and exhibit stochastic dynamics.
Researchers created a computer model that simulates the way slime moulds construct their network, finding networks with improved travel time or resilience to disruption. The models were validated using three key metrics and showed good correlation with actual slime mould results.
Researchers at RIKEN CBS demonstrate that neural networks minimize energy cost and solve mazes efficiently, pointing to a set of universal mathematical rules. The findings will aid in analyzing impaired brain function and generating optimized neural networks for artificial intelligences.
Researchers from Japan Advanced Institute of Science and Technology have identified a new crystal structure for hydrogen at low temperatures near 0 K and high pressures. The team used supercomputer simulations and data science to generate several candidate patterns, which were then validated through high-resolution simulations.
Researchers develop a symmetrized N-center representation that provides a natural, fully equivariant framework for learning properties associated with multiple atoms. The approach gives excellent accuracy for predicting atomic properties despite using only linear or kernel regression.
Scientists predict that continued global warming could lead to a five-meter sea level rise by 3000 CE, making large areas uninhabitable without extensive modification. The Antarctic ice sheet's collapse, driven by West Antarctica's grounding on a bed below sea level, is the primary reason for this decay.
Austrian researchers developed a detailed epidemiological model to study the spread of coronavirus in nursing homes. The agent-based simulation tool helps balance safety and quality of life, considering vaccination rates and testing accuracy. With a high vaccination rate, major outbreaks are no longer expected.
A researcher developed a computer simulation to predict asteroid impacts and study crater formation. The simulation, built using NASA-designed methods, can generalize results to all metal asteroid impacts.
Scientists at Tokyo Metropolitan University created a computer simulation predicting the spread of an invasive beetle species threatening Japan's cherry trees. The model, based on river lengths and roads, provided accurate results comparable to real-world data.
Researchers found that theropods strengthened their jaws through time, with expanding rear jaw portions and evolving different jaw shapes depending on diet. This allowed them to exploit a wider range of food items and minimized bone fracture risk.
Researchers identified a new crystal structure of hydrogen compounds that shows promise for high-temperature superconductivity. The discovery uses theoretical simulations to find potential candidates among ternary hydrides, which could lead to low-cost superconductive technology.
Researchers at University of Helsinki have developed a new method to speed up calculations on quantum computers, reducing the number of measurements required and increasing efficiency. This breakthrough could lead to faster and more sustainable quantum computing.
Researchers developed a predictive model that maps electric activity of mouse, rabbit, and human cardiac cells, allowing translation of findings across species. The model is expected to accelerate drug development and improve understanding of disease mechanisms.
Theoretical physicists modelled the region around M87's supermassive black hole, confirming that gravity plays a key role in accelerating particles out to thousands of light years. The findings provide further evidence for Einstein's theory of general relativity and its application to astrophysical phenomena.
Research finds that overlapping weather extremes increase global economic losses by an average of 20% due to supply shortages and price increases. Richer economies are hit harder, with China experiencing above-average losses of over 27%.
The AbacusSummit simulations are the largest-ever produced, clocking in at nearly 60 trillion particles. They will help scientists extract information about the universe from upcoming surveys of the cosmos.
Researchers discovered that cytoquakes, rapid rearrangements of the cytoskeleton, occur due to slow buildup and sudden release of mechanical energy. These disturbances may aid cells in responding quickly to signals from their environment.
Researchers at the University of Göttingen have discovered a novel type of ordering effect generated and sustained by steady shear deformation. They found that under sufficient driving force, an interesting ordering effect emerges, revealing a hidden order in the force directions.
A new experimental method tracks the motion of fibers instead of particles to reveal previously hidden information about turbulent flows. The researchers developed an innovative solution using rigid fibers, which allowed them to measure the speed and direction of flow at two points a fixed distance apart.
Researchers have discovered a new technique to locate the diffusion wake's signal in the quark-gluon plasma, a subatomic soup that flowed like a friction-free fluid after the Big Bang. This breakthrough may help scientists understand how matter emerged from this perfect fluid.
The new EQUIPS workflow provides a more accurate and reliable way to process 3D images for computer simulations. It uses machine learning to automate the drawing process and produces a range of simulation outcomes, allowing decision-makers to consider best- and worst-case scenarios.
Researchers used complex computer simulations to study the attachment of SARS-CoV-2 and its variants to human cells. They found that the virus has two main locations where it grabs onto the host cell receptor ACE2, with early strains having a slippery interaction at one region that becomes less slippery as variants evolve.
A new study explains how genetic islands can occur in marine molluscs by studying the limpet Nacella concinna. The researchers found that an entire generation of offspring descended from a limited number of parents and were carried by ocean currents to one location.
QUT researchers developed a new mathematical model to enable faster solutions for complicated problems in agriculture, ecology and medicine. The method improves how to determine the 'best' intervention strategies, balancing benefits and side effects, and can be applied to farming practices and chemotherapy.
A novel mortality risk prediction method helps tailor treatment decisions and transplant needs for patients based on individual symptoms. The new tool uses a random survival forest algorithm to predict individual mortality risk curves, calculate mortality at any given time, and provide a 95% confidence interval.
Researchers at Washington University in St. Louis have discovered that bacteria can adapt to changing environments by learning statistical regularities, enabling them to predict the future faster than traditional evolutionary methods. The study reveals a simple regulatory architecture that allows bacteria to process information and mak...
A new study simulates global warming at unprecedented resolution, revealing that increasing CO2 concentrations will weaken the intensity of the ENSO temperature cycle. This could lead to fewer El Niño and La Niña events, with potential implications for rainfall extremes.
A new study assesses the impacts of sea level rise and wetland change on storm surge flooding in the Chesapeake Bay region. The results show that even relatively weak storms in 2100 could have a greater impact than high-intensity storms today, with significant property damage and effects on people.
High-intensity focused ultrasound (HIFU) technology is being explored for its potential to destroy cancerous tumours while minimizing damage to healthy tissue. Researchers at the University of Waterloo have made significant progress in understanding how HIFU works on a cellular level, paving the way for future clinical trials.
A research study is being conducted to understand muscle fatigue in older adults, with a focus on its effects on mobility and daily activities. The study aims to develop a new metric called fatigability to assess an individual's change in performance and perceived effort in response to standardized activity.
A study on Homo floresiensis found its bite could exert around 1300 Newtons of force, comparable to modern humans and some extinct cousins. This suggests that the Hobbit might have been at greater risk of facial bone strain or dislocation when biting hard foods.
The OPTIMADE API specification allows for seamless access and interoperability across multiple materials databases, including AiiDA and Materials Cloud. Researchers can query databases, expose links between them, and deliver standardized results using the OPTIMADE API.
Michigan Tech researchers developed a model to calculate how particular chemicals break down in surface water using singlet oxygen, which degrades contaminants and helps protect our waterways. The study's findings can aid environmental engineers and scientists in estimating half-lives of chemicals and predicting their degradation rates.
A recent study modelled social, economic, and personal factors influencing voters and parties to identify four key levers that tip the balance towards political extremes. Social contagion and macro-economic factors such as employment and economic growth play a significant role in driving polarization.
Researchers developed a 'site-specific' strategy to improve cereal yields in Nepalese smallholder farms, outperforming traditional generalized approaches. The Nutrient Expert system uses machine learning to identify crop-specific nutrient requirements, optimizing yield and resource efficiency.
Researchers found that small pockets of virus-laden air can detach from an exhaled breath and travel in a ballistic manner, reaching large distances. This phenomenon is known as the butterfly effect, where miniscule initial variations are amplified by turbulence.
Researchers used computer simulations to study evolution and phenotypic switching in organisms, finding that a 'hidden' switch mechanism is used for stability, and can be activated in response to environmental changes. The study suggests that this mechanism helps organisms maintain gene expression levels under stable conditions.
Computer simulation is crucial for developing human-interactive smart robots, enabling safer, faster, and more efficient design and control. By analyzing the biology of soft animal structures, researchers can construct virtual proving grounds to understand robot behavior and optimize performance.
A newly published Science journal paper reveals that water can exist as two liquids of differing density, with noticeably different properties and a 20% difference in density. The discovery explains many of water's anomalous properties and has significant implications for various scientific and engineering applications.
Physicists from the University of Göttingen used computer simulations to investigate aging in living glassy systems, finding that persistent particle activity drives aging. This discovery has potential consequences for biological processes such as wound-healing and cancer metastasis.
A computer model developed by a RUDN University professor shows that low speeds on bumpy roads can cause significant vehicle body damage. The study found that spot welded joints are particularly prone to failure at lower speeds, affecting the vehicle's crashworthiness and service life.
Scientists propose that asteroids Bennu and Ryugu were formed directly as spinning-top shapes due to a collision, with their equatorial craters ruling out recent re-shaping. The team's computer simulations suggest two possible explanations for the different hydration levels of the two bodies.
A new NIST formula could significantly improve Wi-Fi and cellular system performance in unlicensed bands by selecting optimal frequency channels. The formula uses machine learning to maximize data rates and reduce interference, with computer simulations showing it can outperform exhaustive trial-and-error methods.
A new model explains the simultaneous origins of Fermi bubbles and galactic center biconical X-ray structure, with energy injection from a pair of jets emanating from Sgr A* five million years ago. The study suggests the total energy injected is comparable to 20,000 supernovae.
Researchers at Duke University found that ultra-black butterfly wings achieve light-absorbing properties using a 3-D structure of wing scales, which creates an optical illusion. This study could help design thinner ultra-black coatings for applications like military camouflage and space telescopes.
Physicists at Vienna University of Technology have discovered a new type of quasi-particle called the pi-ton, which consists of two electrons and two holes. The pi-ton is created by absorbing a photon and decays into another photon, exhibiting properties similar to those of particles.
Researchers developed mathematical models to understand what conditions produced traditional community structures and conventions around the world. Simulated family groups with shared traits naturally grouped together into distinct cultural groups, leading to the emergence of incest taboos and direct or generalized exchange kinship str...