Articles tagged with Computer Simulation
A new model accounts for the interplay of forces acting on newborn planets, explaining two puzzling observations: the radius valley and peas in a pod. The research suggests that giant impacts, like the one that formed our moon, are probably a generic outcome of planet formation.
A human genetic study suggests that Madagascar's loss of large vertebrates is linked to the first major human expansion on the island around 1,000 years ago. The study found that a small group of Bantu-speaking African people arrived on the island and led to the rapid growth of the human population.
Researchers have developed a new model that combines nuclear physics and string theory to describe the transition to dense and hot quark matter in neutron star collisions. The model allows for the calculation of gravitational-wave signals, showing that both hot and cold quark matter can be produced.
A new study suggests that the US economy's supply chains cannot compensate for local production losses from hurricanes if climate change continues. The researchers found that even under moderate warming scenarios, hurricane damages will exceed the economy's coping capacities, leading to indirect economic effects and price increases for...
Researchers at Paderborn University developed a new algorithm for quantum computing in chemistry, reducing qubit count and increasing parallelisation. This allows for the simulation of larger molecules and improved accuracy despite 'quantum noise'.
A multi-institutional team has developed an efficient method for measuring high-dimensional qudits, which are more resistant to noise and can carry more information than qubits. The technique uses phase modulators and pulse shapers to characterize qudit entanglement with unprecedented precision.
Researchers from the University of Tokyo simulated fracture in amorphous solids to better understand material fatigue. They found that the critical strain for irreversible deformation is the same for both fatigue and monotonic fractures.
Researchers mapped the spread of pathogens in wild macaque populations near human settlements, finding that monkeys with high human interactions cause larger outbreaks. The study used computer simulations to predict disease transmission and identified key factors influencing outbreak size.
Researchers have confirmed the existence of Pekeris waves, a type of atmospheric wave theorized in 1937 but never proven to occur naturally. The waves were detected following the 2022 Tonga volcanic eruption using state-of-the-art observational data and computer simulations.
City digital twin technology is used to create synthetic training data for deep learning models, which are then trained on a combination of real and synthetic data. This approach yields promising results for architectural segmentation tasks, particularly for modern building styles.
Researchers at Linköping University used computer simulations to show that stable aromatic molecules can become reactive after absorbing light. This could enable new ways to control photochemical reactions using the aromaticity of molecules.
Researchers developed a new machine-learning method to understand force chains in jammed granular solids. The graph neural network approach can predict the position of force chains with high accuracy, even for complex systems and varying conditions.
Researchers at the University of Oldenburg and Fraunhofer IWES collaborate on a new project to develop more accurate wind flow simulations using artificial intelligence. The goal is to reduce computing times and enhance precision, ultimately accelerating innovation in wind turbine design.
Researchers found that non-growing season nitrous oxide emissions in the Midwest can account for up to 60% of annual emissions. Environmental factors such as precipitation and temperature drive these emissions, with more intensive freezing causing increased emissions in the southeastern Midwest.
A research team led by City University of Hong Kong discovered a new mechanism that increases both strength and ductility in high-entropy alloys. The findings provide insights for designing strong yet ductile materials and ceramics.
Researchers from the Institute of Industrial Science, The University of Tokyo, found that preordering significantly influences crystal growth and nucleation. Their study proposes modifications to address shortcomings in classical nucleation theory.
Researchers at Stanford University have developed Unified Many-Worlds Browsing, a new approach to refine the search process for physics-based animations. By allowing animators to create queries to narrow down options, this framework can potentially reduce thousands of possible outcomes to a handful that are interesting to the user.
Researchers from Aarhus and Berlin have developed an algorithm that can predict how complex molecules will bind to the surface of catalysts. This is achieved through a machine-learning approach inspired by 3D Tetris, allowing computers to quickly identify promising catalysts.
Researchers at IISc used widely-used computational techniques to predict and verify migration barrier values in lithium-ion batteries. They propose robust guidelines to choose accurate frameworks for testing materials. The study found SCAN functional had better accuracy overall, while GGA was faster but less accurate.
Researchers have discovered that resistivity can cause instabilities in plasma edge, making it more stable when included in models. The study aims to design systems for future fusion facilities with improved plasma stability.
Hawks use a unique flight path to slow down to a safe speed while minimizing the distance from the perch at which they stall. This allows them to control their landings effectively, even when slowing down risks stall, leading to sudden loss of flight control.
A team of researchers from Indian Institute of Science used computer simulations to analyse speech aerosols and found the risk of infection was higher when one person acted as a passive listener. The study also suggests that turning heads away by about nine degrees can reduce the risk for speakers
Researchers found that wetter pre-growing seasons reduced soil nitrogen through leaching, but applying more fertilizer can mitigate this effect. The model also showed that cold pre-growing season temperatures limited early growth in ways that affected yield potential, making extra fertilizer less effective.
Researchers from Johannes Gutenberg University Mainz and partners will continue developing fundamental soft matter simulation methods, improving techniques and applying them to real-world problems. The project aims to establish routine use of multiscale techniques for simulating soft material properties.
Researchers at PPPL have discovered that adding tungsten to plasma fuel pellets improves the compression of fuel, increasing fusion yield. The study uses krypton gas to measure X-rays emitted by the pellets, providing new insights into the fusion process.
Researchers used a new simulation code to study the formation of star clusters and found that massive stars can eject off-center bubbles in the Orion Nebula. The simulations matched observations, showing that ejected stars can initiate ionized bubbles before falling back into the cluster.
Researchers have developed a new formula for swimming based on their study of odd elasticity, allowing microswimmers to exhibit autonomously directional and deterministic motion. The team used Purcell's swimmer model to demonstrate that any odd elastic micromaterial can spontaneously generate locomotion in a fluid.
Low-frequency tectonic tremors in Alaska are linked to high levels of dehydration in the Yakutat terrane, a subducting oceanic plateau. The study suggests that this dehydration reaction is caused by temperature and pressure conditions during plate subduction.
Researchers simulated COVID-19 transmission on a university campus, finding that universal mask usage and high vaccination rates can curb new infections. The study suggests that at least 93% of students should be vaccinated during highly transmissible variant outbreaks.
A recent study published in Frontiers in Microbiology reveals the correlation between sugar identity and flexibility in SARS-CoV-2 spike glycoprotein. The researchers used high-resolution cryo-electron microscopy and computer simulation to understand the impact of glycans on antibody recognition and protein shielding.
New computer simulations predict that farmland and suburban moths are struggling to move across landscapes due to landscape features such as rugged hills. Habitat restoration in these areas could help species adapt to climate change by shifting their ranges across the country.
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 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.