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Accelerating Scientific Discovery Through Computation and Visualization II.

James S Sims1, William L George1, Steven G Satterfield1

  • 1National Institute of Standards and Technology, Gaithersburg, MD 20899-001.

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|July 23, 2016
PubMed
Summary
This summary is machine-generated.

This research showcases how combining physical and information sciences accelerates scientific discovery. High-performance computing and machine learning are key tools for advancing research across diverse scientific fields.

Keywords:
FEFFFeffMPIHylleraas-Configuration InteractionLennard-JonesQDPDdiscovery sciencegenetic programmingimmersive environmentsnanostructuresparallel computingscientific visualizationscreen saver science

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Area of Science:

  • Interdisciplinary research combining physical sciences and information science.
  • Computational science and scientific visualization.

Background:

  • The National Institute of Standards and Technology (NIST) fosters synergistic projects merging physical and information sciences.
  • The Scientific Applications and Visualization Group (SAVG) plays a crucial role in these interdisciplinary efforts.

Purpose of the Study:

  • To illustrate how advanced computational techniques accelerate research across various scientific domains.
  • To highlight the application of high-performance parallel computing, visualization, and machine learning in scientific discovery.

Main Methods:

  • Utilizing high-performance parallel computing for complex simulations.
  • Employing advanced visualization techniques to interpret large datasets.
  • Applying machine learning algorithms to analyze and accelerate research findings.

Main Results:

  • Demonstrated acceleration of research through integrated computational approaches.
  • Successful application of these methods in diverse areas including atomic systems, fluid dynamics, and nanostructures.
  • Examples span high precision energies, suspension flows, X-ray absorption, molecular dynamics, nanostructures, dendritic growth, screen saver science, and genetic programming.

Conclusions:

  • The synergistic combination of physical and information sciences, powered by advanced computing, significantly enhances research capabilities.
  • NIST's SAVG effectively leverages these technologies to drive innovation and breakthroughs in fundamental science.