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  • turbulent magnetic field lines (red) inside a coronal hole

Furthering the Understanding of Coronal Heating and Solar Wind Origin

Researchers from the Space Science Center at the University of New Hampshire, led by co-principal investigators Jean Perez and Benjamin Chandran, expect to arrive at new theoretical understandings in this area through their INCITE research. The team is conducting the first direct numerical simulations of AW turbulence in the extended solar atmosphere that account for the inhomogeneities in the density, flow speed, and background magnetic field within a narrow magnetic flux tube extending from roughly one solar radius to eleven solar radii. They are comparing numerical simulations conducted on Argonne Leadership Computing Facility (ALCF) supercomputers with remote observations.

January 16, 2013
  • 1.1 trillion particles

Argonne Scientists Probe the Cosmic Structure of the Dark Universe

In the standard model of cosmology, dark energy and dark matter together account for 95% of the mass energy of the universe; however, their ultimate origin remains a mystery. The Argonne Leadership Computing Facility will allocate significant supercomputing resources towards unraveling one of the key puzzles—the nature of the dark energy causing the universe to accelerate its current expansion rate.

November 15, 2012
  • Calculations including both viscosity and heat conduction

Simulations of Deflagration-to-Detonation Transition in Reactive Gases

Hydrogen is an abundant, environmentally friendly fuel with the potential to reduce our dependence on foreign oil, improve the environment, and boost our economy. Researchers led by Alexei Khokhlov of the University of Chicago are using Argonne Leadership Computing Facility supercomputing resources to understand how hydrogen transitions from burning to detonation, thereby furthering efforts to bring hydrogen fuel safely into our everyday lives.

November 14, 2012
  • High-fidelity simulation of exhaust nozzle under installed configuration

Delivering “Green” Jet Engines and Wind Turbines

A GE Global Research team is studying the complex flow of air in jet exhaust nozzles and wind turbine airfoils. The researchers are conducting simulations on the Argonne Leadership Computing Facility’s supercomputer to understand and predict flow in jet engines and wind turbines. Such information is key to developing quieter, more fuel-efficient wind turbines and jet engines and to improving engine life cycles in an extremely competitive global market.

November 13, 2012
  • billion-atom reactive MD simulation of nanobubble collapse

Petascale Simulations of Stress Corrosion Cracking

The performance and lifetime of materials widely used in energy and nuclear technologies are often severely limited by corrosion under stress loads. Simulations performed at the ALCF are revealing the atomistic mechanisms that control stress-induced corrosion within nuclear reactors—which is key to understanding the phenomenon, and ultimately, to developing new technologies to prevent it.

November 12, 2012
  • computer coverage

Supercomputer Recreates Universe From Big Bang to Today

researchers are planning the most detailed, largest-scale simulation of this kind to date. One of the main mysteries they hope to solve with it is the origin of the dark energy that's causing the universe to accelerate in its expansion. The new simulation is a project led by physicists Salman Habib and Katrin Heitmann of Illinois' Argonne National Laboratory, and will run on the lab's Mira supercomputer, the third-fastest computer in the world, starting in the next month or two.

September 12, 2012
  • An illustration of the environment experience by the excess proton within the Nafion polymer membrane environment, where the hydronium cation is separated from the sulfonate sidechain by a single water molecule.

Conducting Multiscale Modeling of Energy Storage Materials for Fuel Cells, Batteries

U.S. reliance on fossil fuels is increasingly recognized as a substantial threat to national energy security and a source of global climate change. The development of batteries and fuel cells can provide viable clean energy alternatives for replacing internal combustion engines in automobiles and powering personal electronics. However, electrochemical technologies continue to lag behind fossil fuels in performance and cost. Breakthroughs are hindered by a lack of understanding of transport and catalytic mechanisms, the complexity of modeling chemical processes in the individual components of fuel cells and batteries, in addition to modeling dynamics at the interfaces between each component.

August 14, 2012
  • Cosmic Structure of the Dark Universe

Argonne Scientists Probe the Cosmic Structure of the Dark Universe

The origin of dark energy and dark matter—together accounting for 95% of the mass energy of the Universe—remains mysterious. To learn more about their ultimate nature, a team of researchers led by Argonne National Laboratory’s Salman Habib and co-PI Katrin Heitmann is carrying out some of the largest high-resolution simulations of the distribution of matter in the Universe. The researchers are resolving galaxy-scale mass concentrations over observational volumes representative of state-of-the-art sky surveys by using Mira, a petascale supercomputer at the Argonne Leadership Computing Facility (ALCF). A key aspect of the project involves developing a major simulation suite covering approximately 100 different cosmologies—an essential resource for interpreting next-generation observations. This initiative targets an approximately two- to three-orders-of-magnitude improvement over currently available resources.

July 23, 2012
  • Green 500 logo

Argonne’s Mighty Mira Joins Ranks of World’s Most Energy-Efficient Computers

The 20 most energy-efficient supercomputers in the world are IBM Blue Gene/Q systems according to the latest Green500 list announced by Green500.org. Mira, Argonne National Laboratory’s Blue Gene/Q and a U.S. Energy Department petascale resource in support of scientific research, and its two testing and development racks, are among those leading the pack.

June 29, 2012
  • Graph 500

New Argonne Supercomputer Ties for First Place on the Graph 500 Benchmark for Data-Intensive Computing

Mira, located at the Argonne Leadership Computing Facility (ALCF), and Sequoia, located at Lawrence Livermore National Laboratory, each achieved a score of over 3,500 billion graph edges per second, or 3.5 TEPS. The Graph 500 benchmark evaluates machine performance while running data-intensive analytic applications and is a measure of the machine’s communications capabilities and computational power.

June 20, 2012

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