Articles tagged with Computer Simulation
The Rice-Waseda team created a computer simulation model that can accurately depict the complex aerodynamics around a moving car and its rolling tires. The model uses NURBS Surface-to-Volume Guided Mesh Generation method, which enables it to capture the deformation of tires as they roll on the road.
A new volcanic modeling study found that ice-capped volcanoes like Westdahl Peak are delayed in eruption by approximately seven years due to the added pressure from glacial ice. This increase in time may seem insignificant on a geologic scale, but it's significant on the human time scale.
Researchers aim to overcome physical limitations of telecommunications by creating immediate response regardless of distance. The eTouch project leverages Model-Mediated Teleoperation and Edge Computing to enable haptic feedback perception without noticeable delay.
Researchers used Frontera supercomputer to model coronavirus-receptor interactions, discovering a 'one-two punch' combo that primes virus for fusion. The study provides new understanding of the mechanism behind increased virulence of variants such as delta and omicron.
Scientists develop models that complement simulations using reinforcement learning and numerical methods to predict climate change, turbulent flows, and morphogenesis. This approach enables faster and more energy-efficient predictions, solving complex problems in engineering and climate applications.
Researchers aim to replicate buzz pollination using microrobots to understand its importance in agriculture and conservation. The project could lead to stronger motivation for conserving diverse bee species and optimizing fruit and vegetable yields.
New research suggests the brain uses multiple strategies to process smells, employing both snapshot-like and evolving ensemble approaches. The study provides new tools for scientists to quantify and interpret brain activity patterns.
Researchers have used computer simulations to show that small adjustments to certain variables can modify weather systems, mimicking the 'butterfly attractor' phenomenon in chaos theory. This approach could lead to weather control technology and prevent extreme windstorms.
Researchers at RIKEN Center for Computational Science used computer simulations to show that extreme weather phenomena can be controlled by making small adjustments to variables in the weather system. The study's findings promise multiple applications, including preventing and mitigating extreme windstorms.
The study focuses on the Al-Cu-Mg-Ag system used for aircraft structures, revealing patterns that enhance the alloy's heat resistance and strength. The findings will help extend the lifetime of aircraft parts made from these materials, improving overall efficiency and performance.
A study has shown that wind variations over the southern Red Sea are the main drivers of sea-level extremes, driving levels up and down depending on wind direction. This understanding is crucial for coastal planning and management to mitigate the impact of storm surges and coastal erosion.
Researchers at Duke University developed EyeSyn, a virtual eyes system that simulates human eye movement to train metaverse platforms. The system reduces privacy concerns and allows smaller companies to access the metaverse with minimal resources.
Topologists have successfully applied their tools to lasers, enabling the creation of a laser beam whose energies follow a topologically non-trivial loop. This property leads to unique amplification patterns in the light emitted by the laser.
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 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.
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 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.
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 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 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 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 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.
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.
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.
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.
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.
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 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.
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.
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.
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.
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 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.