Articles tagged with Computer Simulation
The Stowers Institute has appointed its first AI Fellow, Sumner Magruder, to harness the potential of artificial intelligence in biological research. He will collaborate with researchers to design new algorithms and unlock insights from large datasets.
Researchers at Washington State University found that early planting to avoid heat damage may actually hinder spring wheat productivity due to other growth issues. The study used computer modeling to show that moving crop plantings earlier in the season can expose crops to elevated heat or cold stress in later growth stages.
Marmar Moussa's project aims to bridge the gap between single-cell technologies and spatial tissue analysis, creating a more complete picture of disease development. The new algorithms will enable scientists to study tumor progression, extracellular matrix remodeling, and other dynamic processes in cancer and beyond.
A solar sail probe could provide a new vantage point for detecting space tornadoes, also known as flux ropes, which can disrupt Earth's magnetic field. These smaller features are too small for typical simulations, but a solar sail probe can help scientists see them and predict potential hazards.
A recent study used Japan's Fugaku supercomputer to simulate the effects of time-varying dark energy on cosmic evolution. The results show that a higher matter density creates stronger gravitational forces, leading to earlier and more efficient formation of massive galaxy clusters.
A research team has discovered the structural origins of mechanical softness in amorphous materials like glass, attributing it to hierarchical ring structures that coexist with medium-range order and local disorder. This finding will accelerate the design of flexible and strong amorphous solids.
Biomedical engineers at Duke University developed a platform combining automated wet lab techniques and AI to design nanoparticles for drug delivery. The TuNa-AI platform resulted in a 42.9% increase in successful nanoparticle formation compared to standard approaches.
Researchers at FAU have developed a smarter AI framework that can manage complex systems with unequal levels of authority and adapt to imperfect information. The framework, based on reinforcement learning and game theory, reduces unnecessary computation while maintaining system stability and optimal strategy outcomes.
University of Michigan researchers have made significant progress in developing a more accurate simulation approach for density functional theory, a widely used method in fundamental chemistry and materials science studies. The new approach has improved the calculation of exchange-correlation functionals, which describe how electrons i...
Tayfun Tezduyar's space-time computational flow analysis enables accurate modeling of complex systems, from designing parachutes for astronauts to simulating blood flow through heart valves. The approach provides high-fidelity representations in both space and time, allowing for more realistic solutions.
A new computational framework has been developed to optimize cellular self-organization, allowing scientists to understand and control how cells grow and interact. The framework uses machine learning tools to extract rules that guide cell behavior, enabling the creation of artificial organs and potential treatments for cancer.
Researchers developed a two-phase simulation model incorporating air-water interactions, representing eddies and aerosols more realistically. The hybrid method balances computing power and precision, conserving resources in less active areas.
Researchers from FAU and the Sensing Institute created a detailed computer model of the mouse brain's vasculature, simulating how brain blood vessels respond to hemodynamics and vasodynamics. The model shows that transitional vessels play a critical role in regulating flow and protecting the brain during increased activity.
Researchers at Penn State have simulated a new class of protein misfolding using atomic-scale models, revealing a type of entanglement that disrupts protein function and persists in cells. The findings support the existence of this long-lasting type of misfolding, which is thought to contribute to aging and disease.
Researchers developed a novel framework using generative AI and musculoskeletal simulation to create synthetic gait data. This approach enables more robust and generalizable gait analysis across various patient populations and clinical environments.
Researchers developed a software fueled by genomics to predict cancer cell behavior, combining genomics technologies with computational modeling. The new 'grammar' enables communication between biology and code, allowing scientists to build digital representations of multicellular biological systems and simulate diseases like cancer.
Scientists use human-AI collaboration to tackle complex questions in condensed matter physics, leveraging machine learning algorithms to identify patterns in simulation data. This approach successfully models the behavior of frustrated magnets and sheds light on quantum computing and gravity.
Researchers are creating generalized digital twins for machines, aiming to improve coordination up and down the production line. The center also plans to develop digital twins for human-robot collaboration and use software for simulation and analysis.
Researchers at Tohoku University developed a new framework for simulating nonlinear quantum dynamics, making it easier to understand and study complex quantum systems. The method uses time-evolution data to extract nonlinear response functions without requiring explicit multipoint correlations.
A team of Penn engineers and materials scientists have developed a biomineral-infused concrete that captures up to 142% more CO2 than conventional mixes while using less cement. The new material is stronger, lighter, and uses fewer materials like cement.
A Cochrane review found that virtual reality (VR) can help stroke survivors regain arm movement and increase therapy time. VR may also improve balance and reduce activity limitations, but effects on mobility and quality of life are uncertain.
Researchers have successfully modeled the synaptic vesicle cycle with unprecedented detail, shedding new light on how our brains function. The model predicts parameters of synaptic function that could not be tested experimentally, opening new avenues for neuroscience investigations.
Researchers from The University of Osaka have demonstrated that vision transformers can spontaneously develop human-like visual attention patterns without specific training. This breakthrough showcases the potential of self-supervised learning for advancing AI applications and modeling biological vision.
Researchers at Rice University have developed a novel personalized medicine approach for addressing movement impairments. The Neuromusculoskeletal Modeling (NMSM) Pipeline software allows clinicians to work in collaboration to construct personalized computer models of individual patients, leading to more effective orthopedic surgery, p...
TIFRH researchers found that imparting additional motility to poorly annealed glass components can induce further annealing, transforming a ductile material into a brittle one. This discovery provides insights into how cells might regulate glassiness and aids in designing new metamaterials.
Researchers developed T2IRay, a VR input method with precise object pointing, and ChoreoCraft, a virtual reality tool supporting choreographers' creativity. These technologies received Honorable Mention awards at CHI 2025 for their contributions to human-computer interaction.
A new computer model simulates magnetism and turbulence in the interstellar medium, providing unprecedented detail on the Milky Way Galaxy's overall magnetic field. The model also helps understand star formation and the propagation of cosmic rays, offering insights into astrophysical phenomenon.
The study models ASFV outbreaks in densely populated US swine states, highlighting the need for enhanced sampling strategies and laboratory capacity to prevent delays and contamination. The model suggests that a minimum of 136-367 sample collectors are needed in non-epidemic scenarios, increasing to 833-3115 in large outbreak scenarios.
A team of researchers from the University of Tokyo used simulations to create a detailed 3D model of a fault, which helped them understand how different parts of a fault contribute to uplift during an earthquake. The study revealed that fault geometry is a critical factor in determining the impact of earthquakes on land.
Researchers developed models to study EV's influence on human cooperation, revealing regional variability promotes cooperation in resource-poor areas. The findings provide new perspectives for archeological inquiry and insights into modern society's cooperative behavior.
A University of Michigan-led team is developing a method to guarantee the quality of 3D-printed metal parts using digital twins, fatigue models, and multisensor integration. The technique aims to predict when these parts will fail under repeated stresses.
Computer simulations show that captured CO2 can be permanently stored underground by mixing with groundwater, creating a denser liquid that sinks and remains there. Suitable geological conditions, such as impermeable rock layers and porous aquifers, are necessary for effective CO2 storage.
Kyushu University researchers have successfully recreated the fluid dynamics of flowing biological cells using numerical simulations. The study reveals that capsule position depends on deformation and pulsation frequency, enabling precise cell manipulation in research and potential applications in artificial heart development.
The Flatiron Institute's Center for Computational Astrophysics is now supporting MESA's ongoing maintenance and development after its creator Bill Paxton steps down. The center has hired Philip Mocz as a full-time software engineer to ensure MESA's continued growth and impact in stellar physics.
Researchers at the University of Gothenburg developed a bicycle helmet with improved shock-absorbing material that utilises auxetic metastructures. The new helmet design provides better protection against head injuries, is lighter, and can be customised to individual head shapes using 3D printing.
A team of researchers used computer code M3D-C1 to model different valve configurations and found that six gas valves provide optimal protection for rapidly dispersing cooling gas. The study's findings will help bring fusion power closer to reality by advancing disruption mitigation strategies.
Researchers discovered how bacterial swarms transition from organized movement to chaotic flow as confinement radius increases. The study reveals intermediate states between order and turbulence through large-scale experiments, computer modeling, and mathematical analysis. These findings provide insights into the universal properties o...
Physicists have created a new code, QUADCOIL, to design stellarators, which could lead to simpler and more affordable fusion facilities. The code helps balance physics and engineering by quickly ruling out unstable plasma shapes and predicting magnet complexities.
The Harvard robot uses latch-mediated spring actuation to jump high and cover long distances relative to its size. It combines walking and jumping modes for effective navigation in natural environments.
Researchers at Vienna University of Technology have developed a new alloy, pyrochlore magnet, that exhibits nearly zero thermal expansion over an extremely large temperature range. This breakthrough is due to the material's heterogeneous composition, which balances out the usual thermal expansion effect.
Combining data from two major surveys of the universe's evolutionary history reveals a small discrepancy between expected clumpiness and observed matter distribution. This deviation could suggest unaccounted-for physics influencing cosmic structure formation, such as dark energy.
A recent neuroscientific study by UPF and Oxford reveals that long-range connections between brain regions are scarce but play a fundamental role in explaining brain dynamics. These rare connections serve to transmit information more quickly and directly, yielding optimal and efficient information processing.
A new study published in Science Advances finds that four common resilience strategies - mobility, investment in infrastructure, exchange, and economic adjustment - have varying levels of effectiveness. Mobility and strong social ties proved to be solid protection against crises, while economic adjustment was the least effective strategy.
A new study demonstrates how fluorescent cholesterol probes can visualize cholesterol in live cells, revealing its role in amyloid plaque formation and cellular signaling. The novel probes have the potential to enhance our understanding of how cholesterol imbalances contribute to neurodegenerative disorders.
The Mcity Test Facility's first open-source digital twin enables researchers to test autonomous algorithms in a virtual environment. The digital twin introduces real-world data and simulated safety-critical events, accelerating the development of connected and automated vehicle software.
Researchers have uncovered key insights about how liquid crystals transform between different phases using direct simulation and machine learning. This study provides a clearer understanding of the microscopic-level changes in these materials, which could lead to new possibilities for advanced materials development.
A new AI model, Spherical DYffusion, can predict climate patterns over 100 years in just 25 hours, making it 25 times faster than the state of the art. The model uses generative AI and physics data to achieve this breakthrough, reducing the need for supercomputers.
Researchers argue that the planets' unique magnetic fields can be explained by immiscible layers of water and hydrocarbons. Computer simulations show that a combination of water, methane, and ammonia separates into two distinct layers under extreme temperatures and pressures.
A recent study using satellite imagery analyzed drought dynamics over five years to show increasing droughts in the Arkansas Delta. The user-friendly Arkansas Vegetation Drought Explorer v.2.0 web app provides maps showing drought levels by county, year, and month.
Researchers from Universidad Miguel Hernandez de Elche found that bisphenol analogs BPF and BPS, marketed as safer alternatives to BPA, accumulate in biological membranes and disrupt endocrine function. The study suggests these compounds pose health risks similar to those of BPA.
Researchers have discovered a mechanism to detach and recycle parts of cellular canal membranes as needed. The study, conducted with supercomputer simulations, shows that protein regions can cause the membrane to bulge and pinch off, forming vesicles for recycling.
Scientists have discovered that adding carbon to metal nanoparticles makes them 200 times more active, which could lead to significant cost savings and improved efficiency in industrial processes. The discovery was made possible by precise measurements and simulations of the interaction between metal nanoparticles and a carbon substrate.
A new crowdsourcing system, FireLoc, uses a network of low-cost mobile phones to detect wildfires minutes—even seconds—after they ignite. The system prioritizes privacy and accurately maps wilderness fires to within 180 feet of their origin.
Researchers discovered five distinct grain boundary structures composed of different arrangements of icosahedral cage units, enabling dense packing of iron atoms. The formation of these quasicrystalline-like phases can be used to tailor material behavior and make materials more resilient against degradation processes.
Researchers at TU Wien have developed computer simulations to investigate the temporal development of quantum entanglement. They found that the 'birth time' of an electron flying away from an atom is related to the state of the remaining electron, demonstrating a quantum-physical superposition.
Computer simulations point the way towards better solar cells by gaining crucial insights into what influences properties of 2D perovskite materials. Researchers have discovered that the choice of organic linkers can directly control how atoms in surface layers move, affecting optical properties.
A new study suggests that large-scale adoption of electric vehicles can lead to significant population-level health benefits. The research team used computer simulations to show that aggressive electrification of the US vehicle fleet, coupled with an ambitious rollout of renewable electricity generation, could result in health benefits...
Researchers discovered that dividing bacterial cells adapt to crowded environments by slowing their growth, forming a pattern of concentric circles. This process can inform strategies for controlling the spread of harmful microorganisms, such as in infections or manufacturing.
The two-year study aims to explore biases in AI systems and develop a 'human-in-the-loop' framework for quality data discovery. It will investigate how humans can be involved as labelers, prompters, and validators to improve data sets and user interfaces.
Researchers developed a model to project Italy's energy storage needs for a renewable energy system, accounting for daily and seasonal fluctuations. The model suggests that increasing short-term energy storage capacity is critical for decarbonizing the power sector.