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DOE SCIENCE NEWS BY TOPIC: Computational Sciences
Driven by rapid technological advances within the past two decades, computing and high-speed networking have emerged as powerful tools for science and are even changing the ways in which modern science is conducted. DOE is a national leader in the scientific computing field–supporting fundamental research in advanced scientific computing, applied mathematics, computer science, and networking. The DOE computational infrastructure provides world-class, high-performance computational and networking tools that enable scientific, energy, environmental, and national security research.

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Features

A standard for neuroscience data

A standard for neuroscience data

In November, Neurodata without Borders hosted a hackathon to consolidate ideas for designing and implementing a standard neuroscience file format. And BrainFormat, a neuroscience data standardization framework developed at Berkeley Lab, was one of several candidates selected for further investigation. It is now a strong contender to contribute to the development of a community-wide data format and storage standard for the neuroscience research community.

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Optimized algorithms boost combustion research

Turbulent combustion simulations, used in the design of more fuel-efficient combustion systems, have gotten their own efficiency boost, thanks to researchers from Berkeley Lab's Computational Research Division. They developed new algorithmic features that streamline turbulent flame simulations, which are commonly used in the design of combustion systems such as diesel engines; after testing the enhanced code on NERSC supercomputers, they were able to achieve dramatic improvements in simulation times, which will help reduce the time -- and thus the cost -- of designing new engines.

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Optimized algorithms boost combustion research

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Lab News Releases
18-Dec-2014
Rice study fuels hope for natural gas cars
Rice University

17-Dec-2014
Getting bot responders into shape
DOE/Sandia National Laboratories

17-Dec-2014
Switching to spintronics
DOE/Lawrence Berkeley National Laboratory

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