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Related Experiment Video

Updated: Jul 30, 2025

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

Simulations in the era of exascale computing.

Choongseok Chang¹, Volker L Deringer², Kalpana S Katti³

¹Princeton Plasma Physics Laboratory, Princeton, NJ USA.

Nature Reviews. Materials

|May 11, 2023

Summary

Exascale supercomputers, capable of 10¹⁸ floating-point operations per second, are now available. These powerful machines offer new possibilities for complex materials modeling in computational materials science.

Keywords:

Computational methods Theory and computation

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Area of Science:

Computational Materials Science
High-Performance Computing

Background:

Exascale supercomputers, performing 10¹⁸ floating-point operations per second, are increasingly available globally.
Frontier (USA), Aurora (USA), OceanLight (China), Tianhe-3 (China), and JUPITER (Europe) represent the new generation of exascale systems.
These supercomputers provide unprecedented computational power for scientific research.

Purpose of the Study:

To explore the most promising research directions in computational materials science enabled by exascale computing.
To highlight the potential of advanced modeling and simulation for materials discovery.

Main Methods:

A viewpoint discussion among five researchers specializing in different material types.
Focus on leveraging exascale computing capabilities for materials modeling.

Main Results:

Identification of key areas within computational materials science benefiting from exascale resources.
Discussion on the future trajectory of materials research driven by high-performance computing.

Conclusions:

Exascale computing is poised to revolutionize materials science by enabling complex simulations.
Continued collaboration and research are essential to fully exploit the potential of these advanced computational tools.