Progress and Next Steps for the SMARTS SciDAC-5 Project

The objective of the SMARTS (Surrogate Models for Accurate and Rapid Transport Solutions) SciDAC-5 project [1] is to deliver cost-effective transport modeling and simulation tools that can provide the accurate, timely, and actionable predictions needed for realizing fusion energy’s potential on a decadal timescale. Towards this end, SMARTS is specifically focused on substantially advancing our ability to accurately predict multi-species particle and thermal confinement in tokamak burning plasmas. This presentation will give an overview of progress made by the SMARTS team in the last year, current work underway, and planned next steps. Topics to be covered include:

1, Development of the initial SMARTSsolver codebase [2], via integration of MGKDB and QUENDS with the open-source PORTALS Bayesian optimization-based transport solver.

2. Investigations of multifidelity uncertainty quantification techniques for use in SMARTSsolver

3. Validation of SMARTSsolver profile predictions for a range of operational scenarios drawn from past and current tokamaks.

4. SMARTSsolver predictions for burning plasma scenarios in a range of proposed devices

5. Extensions of SMARTSsolver physics capabilities to include self-consistent near-edge, energetic particle, and multi-species impurity transport predictions.

[1] https://smarts.ucsd.edu

[2] see https://smarts.ucsd.edu/codes for links to component documentation