A collaboration of several government and academic research organizations are hard at work on a design and manufacturing concept called “model-based design and verification”. Instead of building prototypes and discarding them, manufacturers would conduct virtually all of the design, testing, error identification, and revisions on a computer up to the point of commercial production.
Over the course of two weeks this fall, computer models made a startling sequence of correct and useful predictions. By running thousands of simulations on polling data, Nate Silver correctly forecasted how all 50 states would vote for president. In the case of Hurricane Sandy, meteorologists identified the potential danger to the Northeast nearly a week before the storm arrived. Computer models of many kinds have improved in recent years, and the approach is finding new, unexpected uses.
Opsins, the light-sensitive proteins key to vision, may have evolved earlier and undergone fewer genetic changes than previously believed, according to a new study that used computer modelling to theorize the evolutionary developments of these structures. The analysis incorporated all available genomic information from all relevant animal lineages.
By tailoring geoengineering efforts by region and by need, a new model promises to maximize the effectiveness of solar radiation management while mitigating its potential side effects and risks. The study explores the feasibility of using solar geoengineering to counter the loss of Arctic sea ice.
To combat the effects of climate change, some scientists have proposed temporarily reducing the amount of sunlight reaching the earth. These various geoengineering schemes have typically thought as a standalone fix, but a new computer analysis of future climate change considers emissions reductions together with sunlight reduction. The model shows that such drastic steps to cool the earth would only be necessary in certain scenarios.
Ask adults what number is halfway between 1 and 9, and most will say 5. But pose the same question to small children and they're likely to answer 3. Cognitive scientists theorize that that's because it's actually more natural for humans to think logarithmically than linearly. A new information-theoretical model of human sensory perception and memory sheds light on these peculiarities of the nervous system.
Researchers from North Carolina State University have developed a new technique that allows users to better determine the amount of charge remaining in a battery in real time. Using the researchers' new technique, models are able to estimate remaining charge within 5%.
Using a computational model they designed to incorporate detailed information about plants' interconnected metabolic processes, scientists at Brookhaven National Laboratory have identified key pathways that appear to "favor" the production of either oils or proteins. The research may point the way to new strategies to tip the balance and increase plant oil production.
Nearly 100 years after a British neurologist first mapped the blind spots caused by missile wounds to the brains of soldiers, University of Pennsylvania scientists have perfected his map using modern-day technology. Their results create a map of vision in the brain based upon an individual's brain structure, even for people who cannot see. Their result could, among other things, guide efforts to restore vision using a neural prosthesis that stimulates the surface of the brain.
The natural decay of organic carbon contributes more than 90% of the yearly carbon dioxide released into Earth's atmosphere and oceans. Understanding the rate at which leaves decay can help scientists predict this global flux of carbon dioxide. But a single leaf may undergo different rates of decay depending on a number of variables. Researchers have just built a mathematical model that incorporates these variables, and have discovered a commonality within the diversity of leaf decay.
A one-of-a-kind, high-tech modeling tool designed to simulate different situations on the electric power grid will be on display at the White House. The result of a multi-year funding effort, Pacific Northwest National Laboratory researchers will joining Energy Secretary Steven Chu to demonstrate how GridLAB-D can help power system operators, industry, innovators, and entrepreneurs understand how making a change to one part of the power system impacts other parts on the grid.
Researchers at NIST have developed a new computational method for identifying candidate refrigerant fluids with low global warming potential—the tendency to trap heat in the atmosphere for many decades—as well as other desirable performance and safety features. The NIST effort is the most extensive systematic search for a new class of refrigerants that meet the latest concerns about climate change.
A new study has found that climate-prediction models are good at predicting long-term climate patterns on a global scale, but lose their edge when applied to time frames shorter than three decades and on sub-continental scales.
One of the greatest challenges in neuroscience is to identify the map, or “connectome”, of synaptic connections between neurons. The Blue Brain Project at the Swiss Federal Institute of Technology in Lausanne has recently announced it has identified key principles that determine synapse-scale connectivity by virtually reconstructing a cortical microcircuit and comparing it to a mammalian sample.
Global warming is expected to intensify extreme precipitation, but the rate at which it does so in the tropics has remained unclear. Now, a new study has given an estimate based on model simulations and observations: With every 1 C rise in temperature, the study finds, tropical regions will see 10% heavier rainfall extremes, with possible impacts for flooding in populous regions.
If increasing numbers of wind turbines and photovoltaic systems feed electrical energy into the energy grid, it becomes denser—and more distributed. Researchers in Germany, using model simulations, have discovered that consumers and decentralized generators can easily self-synchronize. Their results indicate that a failure of an individual supply line in the decentralized grid less likely implies an outage in the network as a whole. But care must be taken when adding new lines.
Vegas, Monte Carlo, and Atlantic City draw people from around the world who are willing to throw the dice and take their chances. Researchers in Poland, however, have spotted something predictable in the seemingly random throw of the dice. By applying chaos theory and some high school level mechanics, they determined that by knowing the initial conditions it should be possible to predict the outcome when rolling the dice.
Researchers from North Carolina State University have developed a new method for forecasting seasonal hurricane activity that is 15% more accurate than previous techniques. The method, called the "network motif-based model", evaluates historical data for all variables in all places at all times in order to identify those combinations of factors that are most predictive of seasonal hurricane activity.
Researchers at Lawrence Berkeley National Laboratory's Molecular Foundry developed a first-of-its-kind model for providing a comprehensive description of the way in which molecular bonds form and rupture. This model enables researchers to predict the "binding free energy" of a given molecular system, a key to predicting how that molecule will interact with other molecules.
Over the past few decades, the hunt for extrasolar planets has yielded incredible discoveries. Now, planetary researchers have a new tool—simulated models of how planets are born. A team of researchers at The University of Texas at Austin are using supercomputers to model and simulate the protostellar disks that precede the formation of planet.
When the Space Shuttle Atlantis took off from Cape Canaveral on its final flight more than a year ago, a research team took advantage of this opportunity to track the 350-ton plume of water vapor exhaust that it released shortly after launch. Crossing through the paths of seven separate sets of instruments, the vapor spread far faster than expected and quickly moved to the Arctic. Such information will be used to inform global circulation models.
As an animal develops from an embryo, its cells take diverse paths, eventually forming different body parts. In order for each cell to know what to do during development, it follows a genetic blueprint, which consists of complex webs of interacting genes called gene regulatory networks. Biologists at the California Institute of Technology have spent the last decade or so detailing how these gene networks control development in sea-urchin embryos and, for the first time, have built a computational model of one of these networks.
A scientist at the Princeton Plasma Physics Laboratory has developed a model for predicting the outflow of heat during fusion experiments, which may help overcome a key barrier to the fusion process. The model predicts the width of what physicists call the "scrape-off layer" in tokamaks.
Past efforts to predict the structure of proteins have met with limited success. But now a scientific team in collaboration with investigators from Lawrence Berkeley National Laboratory have demonstrated that a computer modeling approach similar to one used to predict protein structures can accurately predict peptoid conformation as well.
Lawrence Berkeley National Laboratory researchers helped develop the first computational model to accurately predict the interactions between flue gases and a special variety of the carbon dioxide-capturing molecular systems known as metal-organic frameworks (MOFs). This new model should greatly accelerate the search for new low-cost and efficient ways to burn coal without exacerbating global climate change.