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When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
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Accelerating Scientific Discovery Through Computation and Visualization.

J S Sims1, J G Hagedorn1, P M Ketcham1

  • 1National Institute of Standards and Technology, Gaithersburg, MD 20899-0001.

Journal of Research of the National Institute of Standards and Technology
|August 24, 2016
PubMed
Summary
This summary is machine-generated.

High-performance computing and visualization accelerate scientific discovery. Collaboration between research and computation scientists using advanced tools is key to achieving breakthroughs beyond desktop capabilities.

Keywords:
IMPIMPIdiscovery sciencedistributed processingimmersive environmentsinteroperable MPImessage passing interfaceparallel processingscientific visualization

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Area of Science:

  • Computational Science
  • Scientific Visualization

Background:

  • Scientific discovery can be significantly accelerated through advanced computational and visualization techniques.
  • High-performance computing (HPC) offers capabilities beyond standard desktop computing.

Purpose of the Study:

  • To describe how the Scientific Applications and Visualization Group (SAVG) at NIST uses HPC and visualization.
  • To demonstrate the acceleration of scientific discovery through these methods.

Main Methods:

  • A synergistic collaboration between research scientists and computation/visualization scientists.
  • Utilizing parallel computing techniques, advanced visualization algorithms, and specialized hardware.
  • Leveraging a critical mass of talent and recurring investment for sustained high-performance capabilities.

Main Results:

  • Accelerated condensate modeling.
  • Enhanced understanding of fluid flow in porous materials and complex geometries.
  • Improved modeling of flows in suspensions, X-ray absorption, dielectric breakdown, and dendritic growth in alloys.

Conclusions:

  • The integration of expertise, advanced computing tools, and visualization is crucial for accelerating scientific discovery.
  • High-performance parallel computing and visualization are essential for pushing the boundaries of scientific research beyond desktop limitations.