REVIEW 3 cited by
Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
read the original abstract
This work presents the PORTALS framework, which leverages surrogate modeling and optimization techniques to enable the prediction of core plasma profiles and performance with nonlinear gyrokinetic simulations at significantly reduced cost, with no loss of accuracy. The efficiency of PORTALS is benchmarked against standard methods, and its full potential is demonstrated on a unique, simultaneous 5-channel (electron temperature, ion temperature, electron density, impurity density and angular rotation) prediction of steady-state profiles in a DIII-D ITER Similar Shape plasma with GPU-accelerated, nonlinear CGYRO. This paper also provides general guidelines for accurate performance predictions in burning plasmas and the impact of transport modeling in fusion pilot plants studies.
Forward citations
Cited by 3 Pith papers
-
A Transport Theory of Turbulent Coronal Heating in General Geometry
A controlled multiscale RMHD expansion in arbitrary magnetic geometry yields new geometry-driven turbulent heating and cross-field transport channels that can dominate standard reflection in structured coronal regions.
-
Steady state, core, operational optimization of an ARC-like tokamak via plasma composition and shape
Joint optimization of impurity mix, plasma shape, and pedestal density in a modeled ARC tokamak raises predicted fusion power by up to 65% compared with the nominal design.
-
Impact of model uncertainty on SPARC operating scenario predictions with empirical modeling
Accounting for uncertainties in empirical scaling laws, plasma profiles, and impurities shifts the predicted optimal SPARC operating point away from the deterministic POPCON optimum.
Discussion (0). Continue with ORCID to comment.