Recent progress in Chinese fusion research based on superconducting tokamak configuration. [PDF]
Zheng J +16 more
europepmc +1 more source
Impact of Yacora evaluated molecular effective rate coefficients on detached SOLPS-ITER simulations
Presently, SOLPS-ITER does not replicate the levels of plasma-molecular interactions seen during deep detachment on the Super-X divertors of MAST-Upgrade and TCV.
J. Bryant +8 more
doaj +1 more source
SOLPS-ITER modeling of EU-DEMO Ar-seeded cases with drifts and kinetic neutrals [PDF]
Coster, D. +6 more
core +2 more sources
Error assessment and code speed-up for SOLPS-ITER
sponsorship: Euratom research and training programme 2014-2018, IWT-Vlaanderen.
Baelmans, Martine +4 more
openaire +1 more source
Modeling study of divertor particle and heat flux asymmetries for EAST H-mode discharges. [PDF]
Deng GZ, Lin XD.
europepmc +1 more source
Numerical investigation of tokamak edge plasmas in nuclear fusion-relevant configurations through SOLPS-ITER and ERO2.0 modeling [PDF]
LAUREA MAGISTRALEComprendere il comportamento del plasma di bordo nei tokamak è cruciale per la fusione a confinamento magnetico, ma risulta complesso per la natura articolata dei fenomeni coinvolti.
Mastrogirolamo, Andrea
core
Two-dimensional inference of divertor plasma characteristics advancements to a multi-instrument Bayesian analysis system [PDF]
An integrated data analysis system based on Bayesian inference has been developed for application to data from multiple diagnostics over the two-dimensional cross-section of tokamak divertors.
Bowman, C. +5 more
core +1 more source
In this paper, a numerical investigation of plasma–material interaction-relevant helium plasma experimental discharges in GyM linear device is presented, in which SOLPS-ITER and ERO2.0 codes are coupled for plasma background generation and material ...
F. Mombelli +9 more
doaj +1 more source
Approaching the radiating X-point in SOLPS-ITER modeling of ASDEX Upgrade H-mode discharges [PDF]
Bonnin, X. +7 more
core +1 more source
Parametric study of hydrogenic inventory in the ITER divertor based on machine learning. [PDF]
Delaporte-Mathurin R +5 more
europepmc +1 more source

