Project Status: Active
Developing predictive tools to understand the behavior of plasma-facing components in fusion reactors. CSMD contributions include HPC implementation, uncertainty quantification, and data analysis and visualization.
The objective of this project is to develop, and integrate, high-performance simulation tools capable of predicting plasma facing component (PFC) operating lifetime and the impact of the evolving surface morphology and composition of tungsten-based PFCs on plasma contamination, including the dynamic recycling of fuel species and tritium retention, in future magnetic fusion devices. This project will enable discovery of phenomena controlling critical PFC performance issues, and quantitatively predict their impact on both steady-state and transient plasma conditions. The outcome of this project will be a suite of coupled plasma and materials modeling tools, and a leadership class PFC simulator to predict PFC evolution and feedback to the boundary plasma. Success in the proposed research tasks will enable the prediction of both plasma fueling and the sources of impurity contamination that impact core plasma performance, and will lay the foundation for understanding, designing and developing the materials required to meet the performance objectives of future fusion reactors.
Project web site: https://collab.cels.anl.gov/display/PSIscidac2
This project is part of the Scientific Discovery through Advanced Computing (SciDAC) program, and is jointly sponsored by the Fusion Energy Sciences (FES) and Advanced Scientific Computing Research (ASCR) programs within the U.S. Department of Energy Office of Science. The period of performance is 2017-09-01/2022-08-31.
Last Updated: May 28, 2020 - 4:02 pm