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J. Candy

4 papers hereh-index 18906 citations54 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • physics.plasm-ph4
same name
  • J. Candy — 8 papers, h 18
  • J. Candy — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

physics.plasm-ph2024

FUSE (Fusion Synthesis Engine): A Next Generation Framework for Integrated Design of Fusion Pilot Plants

O. Meneghini, T. Slendebroek, B. C. Lyons +15

The Fusion Synthesis Engine (FUSE) is a state-of-the-art software suite designed to revolutionize fusion power plant design. FUSE integrates first-principle models, machine learnin…

physics.plasm-ph2024

Core performance predictions in projected SPARC first-campaign plasmas with nonlinear CGYRO

P. Rodriguez-Fernandez, N. T. Howard, A. Saltzman +7

This work characterizes the core transport physics of SPARC early-campaign plasmas using the PORTALS-CGYRO framework. Empirical modeling of SPARC plasmas with L-mode confinement in…

physics.plasm-ph2024

Prediction of Performance and Turbulence in ITER Burning Plasmas via Nonlinear Gyrokinetic Profile Prediction

N. T. Howard, P. Rodriguez-Fernandez, C. Holland +1

Burning plasma performance, transport, and the effect of hydrogen isotope on confinement has been predicted for ITER baseline scenario (IBS) conditions using nonlinear gyrokinetic…

physics.plasm-ph2024

Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers

P. Rodriguez-Fernandez, N. T. Howard, A. Saltzman +6

This work presents the PORTALS framework, which leverages surrogate modeling and optimization techniques to enable the prediction of core plasma profiles and performance with nonli…

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