Articles tagged with Computer Simulation
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
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.
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.
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.
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 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.
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.
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.
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.
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.
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.