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HIGH PERFORMANCE COMPUTING AND THE DISCRETE ELEMENT MODEL: By Gao-feng Zhao *VG*
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HIGH PERFORMANCE COMPUTING AND THE DISCRETE ELEMENT MODEL: By Gao-feng Zhao *VG*
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High Performance Computing (HPC) has revolutionized the field of modeling and simulation, allowing for more complex and detailed simulations to be run in a fraction of the time it would take using traditional computing methods. One particular area where HPC is making a significant impact is in the field of Discrete Element Modeling (DEM).
DEM is a numerical method used to simulate the behavior of granular materials, such as sand, gravel, and powders, where individual particles are modeled as discrete entities that interact with each other and their surroundings. These interactions can be incredibly complex and computationally intensive, making DEM an ideal candidate for HPC.
In a recent study by Gao-feng Zhao, a researcher at Virtual Granular (VG) Labs, the benefits of using HPC in DEM simulations were highlighted. By harnessing the power of high-performance computing systems, Zhao was able to run simulations with millions of particles and complex interactions, providing insights into the behavior of granular materials that were previously impossible to obtain.
The use of HPC in DEM not only allows for larger and more detailed simulations to be run, but also enables researchers to explore new avenues of research and gain a deeper understanding of granular materials. With the continued advancements in high-performance computing technology, the future of DEM looks brighter than ever.
Overall, Gao-feng Zhao’s work at VG Labs serves as a testament to the power of HPC in advancing the field of Discrete Element Modeling, and highlights the exciting possibilities that lie ahead for researchers in this field.
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