Accelerating Scientific Discovery Through Computation and Visualization

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.