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Gaining physics understanding and predictive capabilities to describe the evolution of plasma facing components (PFC) requires simultaneously addressing complex and diverse physics occurring over a wide range of length and time scales, as well as integrating extensive physical processes across the plasma - surface - bulk materials boundaries. This requires development not only of detailed physics models and computational strategies at each of these scales, but computer science algorithms and methods to strongly couple them in a way that can be robustly validated through comparisons against available data and new experiments. Therefore, the objective of this project is to develop robust, high-fidelity simulation tools capable of predicting the PFC operating lifetime and the PFC impact on plasma contamination, recycling of hydrogenic species, and tritium retention in future magnetic fusion devices, with a focus on tungsten based material systems. Deploying these tools requires the development of a leadershipscale computational code, as well as a host of simulations that span the multiple scales needed to address complex physical and computational issues at the plasma - surface interface and the transition below the surface where neutron damage processes in the bulk material dominate behavior in multiple-component materials systems. Successful development will enable improved prediction of PFC performance needed to ensure magnetic fusion energy development beyond ITER.
|Institution||Principal Investigator||Additional Participants|
|ANL||Tim Tautges (email@example.com)||Emil M. Constantinescu, Jungho Lee, Vijay Mahadevan, Barry Smith|
|GA/DIII-D||Vincent Chan (firstname.lastname@example.org)||Adam McLean (LLNL on assignment at DIII-D)|
|LANL||Xianzhu Tang (email@example.com)||Jim Ahrens, David Higdon, Li-Ta "Ollie" Lo, Danny Perez, Luis Sandoval, Arthur Voter, Blas Uberuaga|
|ORNL*||Brian D. Wirth* (firstname.lastname@example.org)||David E. Bernholdt, Jay Jay Billings, John Canik, Jeremy Meredith, Philip C. Roth, Roger Stoller, Stanislav Golubov|
|PNNL||Rick Kurtz (email@example.com)||Howard Heinisch, Giridhar Nandipati, Kenny Roche, Wahyu Setyawan|
|UCSD||Sergei Krasheninnikov (firstname.lastname@example.org)||Roman Smrinov|
|UIUC||David Ruzic (email@example.com)|
Davide Curreli, Kyle Lindquist
|UMass||Dimitrios Maroudas (firstname.lastname@example.org)||Lin Hu|
* Lead Institution and Lead Principal Investigator
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.
|Area||Organization||PSI Point(s) of Contact||Partner Point(s) of Contact|
|SciDAC Institutes||FASTMath – Frameworks, Algorithms, and Scalable Technologies for Mathematics||Barry Smith (ANL), Tim Tautges (ANL)|
|QUEST – Quantification of Uncertainty in Extreme Scale Computations||David Higdon (LANL)|
|SUPER – Institute for Sustained Performance, Energy and Resilience||Phil Roth (ORNL)|
|SDAV—Scalable Data Management, Analysis and Visualization||Jim Ahrens (LANL), Jeremy Meredith (ORNL)|
|DOE Fusion Energy Sciences||Plasma Surface Interactions (PSI) Science Center||Brian Wirth (ORNL/UTK)|
Thibault Faney, Karl Hammond, Niklas Juslin, Faiza Sefta, Donghua Xu
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