Simulation / Modeling / Design

GPU-Accelerated Model Reveals Details of Nuclear Fission

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  • Scientists from University of Washington, Warsaw University of Technology, Pacific Northwest National Laboratory, and Los Alamos National Laboratory developed a quantum microscopic model that reveals fission fragments remain connected far longer than expected before daughter nuclei split apart.
  • The model's predicted kinetic energy agrees with experimental observations, indicating that complex real-time fission dynamics calculations without physical restrictions are feasible.
  • Evaluating the theory required solving about 56,000 complex coupled nonlinear time-dependent three-dimensional partial differential equations for a 240Pu nucleus using highly efficient parallelized GPU code on nearly 2,000 NVIDIA GPUs on the Titan supercomputer at Oak Ridge National Lab.
  • Accurately modeling fission dynamics will impact research areas including future reactor fuel compositions, nuclear forensics, and studies of nuclear reactions.

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Scientists from University of Washington, Warsaw University of Technology in Poland, Pacific Northwest National Laboratory, and Los Alamos National Laboratory, have developed a model that provides a detailed look at what happens during the last stages of the fission process.
According to their research paper, nuclear fission has almost reached the venerable age of 80 years and yet we still lack an understanding in terms of a fully quantum microscopic approach.
Using the new model, the scientists determined that fission fragments remain connected far longer than expected before the daughter nuclei split apart and the predicted kinetic energy agrees with results from experimental observations. This discovery indicates that complex calculations of real-time fission dynamics without physical restrictions are feasible and opens a pathway to a theoretical microscopic framework with abundant predictive power.

Snapshots of the total density profile of the 240Pu fission process.
Snapshots of the total density profile of the 240Pu fission process.

Evaluating the theory amounted to solving about 56,000 complex coupled nonlinear, time-dependent, three-dimensional partial differential equations for a 240Pu nucleus using a highly efficient parallelized GPU code. The calculations required nearly 2,000 NVIDIA GPUs on the Titan supercomputer at Oak Ridge National Lab.
By accurately modeling fission dynamics, the work will impact research areas such as future reactor fuel compositions, nuclear forensics, and studies of nuclear reactions.
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