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On the non-stiffness of edge transport in L-mode tokamak plasmas

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On the non-stiffness of edge transport in L-mode tokamak plasmas

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Chattez avec Graph Search

Full-discharge simulation and optimization with the RAPTOR code, from present tokamaks to ITER and DEMO

Study of fast-ion-driven toroidal Alfvén eigenmodes impacting on the global confinement in TCV L-mode plasmas

Vertical electron cyclotron emission diagnostic on the tokamak à configuration variable

Study of correlations between LOC/SOC transition, intrinsic toroidal rotation reversal and TEM/ITG bifurcation with different working gases in TCV

Model-based electron density estimation using multiple diagnostics on TCV

Effect of triangularity on plasma turbulence and the SOL-width scaling in L-mode diverted tokamak configurations

Performance assessment of a tightly baffled, long-legged divertor configuration in TCV with SOLPS-ITER

Magnetic control of tokamak plasmas through deep reinforcement learning

Enhanced confinement in diverted negative-triangularity L-mode plasmas in TCV

Model-based electron density estimation using multiple diagnostics on TCV

Full-discharge simulation and optimization with the RAPTOR code, from present tokamaks to ITER and DEMO

Study of fast-ion-driven toroidal Alfvén eigenmodes impacting on the global confinement in TCV L-mode plasmas

Effect of triangularity on plasma turbulence and the SOL-width scaling in L-mode diverted tokamak configurations

Performance assessment of a tightly baffled, long-legged divertor configuration in TCV with SOLPS-ITER

Enhanced confinement in diverted negative-triangularity L-mode plasmas in TCV

Study of correlations between LOC/SOC transition, intrinsic toroidal rotation reversal and TEM/ITG bifurcation with different working gases in TCV

Vertical electron cyclotron emission diagnostic on the tokamak à configuration variable

Model-based electron density estimation using multiple diagnostics on TCV

Model-based electron density estimation using multiple diagnostics on TCV

Magnetic control of tokamak plasmas through deep reinforcement learning