Articles tagged with Computer Modeling
Scientists at the University of Chicago and Argonne National Laboratory have improved computer models for understanding electron affinity in water. The new estimates may help create better ways to split water for hydrogen fuel and other chemical processes.
A century of observations reveals how sea-level rise is increasing tidal range in the Chesapeake and Delaware bays, impacting ocean navigation, fishing, and energy sources. The study found that sea-level rise can amplify tidal effects in some areas, while decreasing them in others.
Research found discrepancies between satellite and global model estimates of land water storage in 186 river basins worldwide. GRACE satellites measured changes in water storage, which differed from simulations made by seven commonly used models. The study highlights the need for improved regional assessments to ensure accurate water a...
Researchers combine small-scale experiments with computer models to explore human behavior in large groups, shedding new light on group problem-solving approaches. The approach validates the model by informing future experiments and examining policy interventions that alter social behavior.
A team at MIT has developed a rapid screening method for new solar cell materials, bypassing time-consuming lab tests and improving accuracy. The approach uses simple lab tests combined with computer modeling to predict material performance, accelerating the search for more efficient materials.
Researchers developed a powerful new computer model that replicates the biological activity within the heart preceding sudden cardiac death. The model has yielded important clues for developing treatments, identifying key molecular factors associated with arrhythmias.
Researchers have decoded the molecular process of HIV's cell spreading mechanism, a crucial step in understanding how the virus replicates itself. The findings offer new avenues for developing drugs to combat the virus.
Researchers used time-resolved small-angle x-ray scattering to observe ultra-fast carbon clustering and graphite production in PBX 9502, leading to improved computer models of explosive performance. The study found a higher percentage of graphite than previously expected.
A new computer model, Recursive Cortical Network (RCN), has been developed that can solve CAPTCHA and identify handwritten digits with comparable accuracy to state-of-the-art deep learning approaches but using significantly less training data.
The project aims to develop a literary model theory to review narratives in technical and scientific models. It will improve energy research models and promote 'hermeneutic change' in technology assessment.
A team of researchers is working on a computer software that can deliver better therapies for patients with life-threatening heart failure. The computer model will take MRI or genetic data of a patient and build a multiscale simulation of their heart, leading to more personalized treatment plans.
Hurricane Lee is weakening due to wind shear, with forecasters predicting gusty winds in Ireland and the UK over Sept. 30-Oct. 1. NASA satellite imagery shows the storm's disorganization, with wind shear pushing clouds to the south and southeast of the eye.
Worcester Polytechnic Institute Professor Songbai Ji is developing highly specific computer models of the head and brain to better diagnose concussions in real time. The models use neuroimaging data to assess injury risk and simulate real-time impact, providing athletic trainers with valuable tools to assess athlete safety.
Researchers used a network approach to analyze the polygonal patterns in clouds, finding that they can be re-created using a simple mathematical model. This new method promises to help scientists improve the accuracy of cloud descriptions in computer models, which is crucial for climate projections.
Researchers found that ultra-low velocity zones are different in composition from the surrounding mantle and migrate towards the margins of large blobs. These findings suggest that pockets of rock with distinct compositions collect at the boundary between Earth's core and mantle, likely driven by heat.
Researchers have used computer modeling to demonstrate the varying manipulability of decision-making procedures and identify those least susceptible to manipulation. Two majority relation-based procedures, Uncovered set II and Fishburn's rule, are found to be less manipulable than others.
A new study from the University of Waterloo found that strong individuals should prioritize their own safety before attempting to help weaker people in emergency situations. The research used computer modeling to simulate a flooded subway station, finding that overall survival rates were higher when strong members reached safety first.
Researchers have developed a new computer model that generates synthetic data for simulating real-world applications using giant graphs. The model, TrillionG, is faster and uses less resources than existing methods, making it ideal for testing giant graph algorithms and systems.
A seven-year study using a supercomputer has revealed the secrets of brain electrical signals and protein switches activated by binding molecules. The findings aim to develop safer and more effective anaesthetics, as well as treatments for various neural conditions such as epilepsy, anxiety, and chronic pain.
Physicists at Princeton Plasma Physics Laboratory have developed a new computer model of plasma stability in tokamaks, which could help scientists predict and avoid disruptions. The new model simplifies the physics involved and predicts conditions that can contain high-pressure plasmas.
Researchers at Michigan Technological University developed a virtual keyboard that syncs with a physical keyboard, allowing VR typists to see what keys they typed. The system, which uses a light-up virtual keyboard, improves typing performance and reduces errors, making it easier for people to use head-mounted displays for office work.
Researchers from Caltech discovered that fast ruptures along thrust faults can cause one side of the fault to twist away from the other, opening a gap that then snaps shut. This mechanism has the potential to change our understanding of how tsunamis are generated.
A multi-university study aims to create a computer model of how the brain forms, stores and retrieves complex memories. The goal is to have human-like abilities to remember, understand and learn from events.
The study explores disease-control measures using a simplified SIR model with low computational requirements, and proposes a platform for public-health collaborators to use and provide feedback on models. The research aims to improve disease-related decision making by providing quantitative estimates of outbreak trajectories.
Researchers developed a method to estimate crop yields from space using high-resolution satellites, which could improve agricultural productivity and test intervention strategies. By combining satellite imagery with computer models of crop growth, they achieved surprisingly accurate predictions of actual productivity on the field.
A new study suggests the Galapagos Islands' incredible biodiversity emerged approximately 1.6 million years ago when the Equatorial Undercurrent collided with the archipelago, bringing nutrient-rich waters to the surface. This event allowed for the growth of unique plants and animals that thrive in the islands' ecosystem.
A new study by Brigham Young University researchers may lead to a more accurate system for early detection, diagnosis, and treatment of prostate cancer. The computer model uses medical images to reproduce the growth patterns of prostate cancer on the anatomy of a patient's prostate.
Scientists used GRAIL data to create a computer model that recreated the rings' formation, revealing new details about the interior structure of Orientale. The team estimates that about 816,000 cubic miles of rock was blasted away during the collision.
Researchers at UC Davis created a computer model that predicts the behavior of E. coli bacteria, using a massive dataset called Ecomics, which includes profiles of gene expression and protein activity across various conditions. The model, MOMA, can help scientists design experiments and identify key pathways for antibiotic resistance.
A new approach to modelling land use change developed at UBC enhances existing computer planning models, enabling planners to consider neighboring land-use patterns. The CLUE-S modeling system was adapted to facilitate regional planning and collaboration among bordering jurisdictions.
A new data-cleaning tool called ActiveClean analyzes a user's prediction model to identify mistakes and update the model as it works. By minimizing human error, ActiveClean improves model accuracy and reduces statistical biases, making it an essential tool for building better prediction models.
Computer models reveal a vast array of knots in chaotic waves, including those tabulated by mathematicians, with implications for understanding optical and acoustic landscapes
Researchers developed a machine learning program that can detect human activity in videos sooner and more accurately than previous methods. The program is trained to gain confidence in its predictions over time, allowing it to detect activities earlier and with higher accuracy.
Astrophysicists at Northwestern University predict that LIGO's first detection of merging black holes could have been formed through dynamic interactions in the star-dense core of an old globular cluster. The theory, known as dynamical formation, is one of two recognized main channels for forming binary black holes detected by LIGO.
Biologist Juliano Sarmento Cabral's research focuses on understanding island ecosystems' diversity and its connection to the past. He simulates nature in virtual worlds to study how environmental factors affect plants and animals, including the impact of climate change on epiphytes.
A University of Washington team developed a highly capable five-fingered robot hand that can perform dexterous manipulation and learn from its own experience. The hand uses machine learning algorithms to model physics and plan actions, allowing it to adapt to new tasks without human intervention.
Researchers at the University of Sheffield developed a computer model to understand how bees use vision to avoid collisions. The model suggests that adding speed detection capabilities to existing motion-direction detecting circuits could enhance the navigation and routing algorithms for autonomous flying robotics.
Researchers have built a computer model that mimics bees' ability to detect motion and navigate complex environments. The model uses optic flow to control flight and avoid obstacles, paving the way for more efficient autonomous flying robots.
Researchers at NC State developed a model that expedites design of MIMO antennas, reducing calculation time from days to minutes. The model identifies efficient configurations for antenna designs, saving designers an enormous amount of time.
Researchers used computer models and laboratory experiments to study bubble behavior in magma reservoirs. They found that bubbles accumulate faster in crystal-rich zones, leading to overpressurization and potential sulfur emissions. This discovery sheds light on the underlying mechanisms of super-volcanic eruptions.
A recent study by University of Montana researcher Jesse Johnson reveals that geothermal heat enhances rapid ice flow and subglacial melting in northern Greenland. The research, published in Nature Geoscience, identifies a west-to-east zone with anomalously high heat that drives widespread melting and rapid ice flow.
Researchers used computer models to analyze the evolution of sauropod dinosaurs' bodies, finding that changes in shape coincided with major events in their history. The study reveals a link between size, weight distribution, and body shape, shedding light on the success of titanosaurs.
Scientists at Lawrence Livermore National Laboratory have developed new gas signature models to aid in locating and identifying underground nuclear tests. The models use computer simulations and field experiments to track the evolution of gases from UNEs, potentially helping inspectors identify clandestine sites within a search area.
Researchers have developed a new model that allows them to monitor the molecular traffic inside a single cell. This is crucial for studying diseases like Alzheimer's, Parkinson's, and Huntington's, where faulty transport can be fatal.
Researchers found that humans can recognize objects in partial- or low-resolution images, with a
A new NASA visualization reveals an unusual 2015 El Niño pattern, with warmer sea surface temperatures across the Pacific and Atlantic. This differs from the stronger Eastern Pacific pattern seen in the 1997-1998 event.
A new study using an advanced computer model casts doubt on the previously held theories about Yellowstone's origins, adding to the mystery of its formation. The simulation results showed that a mantle plume was blocked from traveling upward toward the surface by ancient tectonic plates.
Researchers used computer models and field data to accurately depict current flow conditions in Greenland's topographically complex ice sheet. The study aims to improve knowledge of subglacial topography and predict potential effects on sea levels from a melting ice sheet.
Researchers developed a computer model called Bayesian program learning framework (BPL) that captures humans' unique ability to learn new concepts from a single example. The BPL model achieved human-level performance on challenging concept learning tasks, outperforming recent deep learning approaches.
A University of Maryland study suggests that higher levels of societal mobility lead to decreased ethnocentric behavior. In mobile societies, individuals are more likely to treat others as individuals rather than groups, resulting in less hostility towards other cultures.
A new model, POISED, aims to balance technology use with human connection. Key findings include: Using computers in exams can compromise patient safety and relationships if not implemented correctly.
A computer model developed by University of Hawaii researchers can accurately forecast the movement of vog around the state, posing a serious threat to health and ecosystems. The model uses sulfur dioxide emissions and wind predictions to provide near-real-time forecasts.
The National Infrastructure Simulation and Analysis Center has tapped Pacific Northwest National Laboratory (PNNL) to support its program. PNNL will contribute advanced computer modeling and simulation capabilities to analyze vulnerabilities in critical infrastructure sectors such as dams, water, transportation, energy, and information...
A computer model developed by Johns Hopkins predicts that strengthening HIV care, including retention in care and increased testing, can avert 752,000 new infections and 276,000 AIDS deaths over 20 years. Enhanced interventions could reduce incidence by 54% and mortality by 64% at a cost-effectiveness ratio of $45,300 per QALY.
Researchers at UT Arlington are developing a hybrid software/hardware approach to create highly accurate models of electric motors. The new method aims to reduce the time and expense of modeling prototypes by speeding up model simulations by as much as 1 million times, making it easier to create more efficient motors.
Researchers are developing the world's first computer models capable of testing membrane coatings and designs without physical prototypes. This innovation could significantly reduce costs associated with water treatment and increase access to safe drinking water worldwide.
A new method developed by McGill University professor Shaun Lovejoy could significantly improve atmospheric forecasting accuracy, particularly over long periods. By leveraging the atmosphere's long-term memory, Lovejoy's approach shows promise in explaining the 'pause' in global warming since 1998.
A study by Georgia State researchers has found that protected areas in Brazil, Costa Rica, and others can prevent carbon dioxide release worth $5 billion. The research integrates modeling and empirical measures to improve conservation planning by studying policy impacts on ecosystem services.
A University of Huddersfield professor has been granted a Newton Research Collaboration Award to develop a Dynamic Behaviour Model (DBM) that accurately predicts the energy usage of non-domestic buildings. The model will take into account various factors, including occupancy level and equipment use, to make a more realistic prediction.
Researchers at the University of Huddersfield are working on a £6.5 million project to develop new switch designs that can withstand heavy loads and reduce wear and tear. The goal is to make drastic reductions in track maintenance costs and improve the overall efficiency of rail networks.