Results 91 to 100 of about 31,680 (149)

Recent progress in Chinese fusion research based on superconducting tokamak configuration. [PDF]

Innovation (Camb), 2022
Zheng J, Qin J, Lu K, Xu M, Duan X, Xu G, Hu J, Gong X, Zang Q, Liu Z, Wang L, Ding R, Chen J, Li P, Xue L, Cai L, Song Y.   +16 more
europepmc   +1 more source

Approaching the radiating X-point in SOLPS-ITER modeling of ASDEX Upgrade H-mode discharges [PDF]

, 2021
Bonnin, X., Coster, D., Kaveeva, E., Rozhansky, V., Senichenkov, I., Shtyrkhunov, N., Veselova, I., Voskoboynikov, S.   +7 more
core   +1 more source

Simulation of plasma transport in the linear plasma device MPS-LD by SOLPS-ITER

, 2022
Yanjie Zhang, Chaofeng Sang, Changjiang Sun, Min Wang, Yue Wang, Qi Wang, Dezhen Wang   +6 more
openalex   +1 more source

Modeling study of divertor particle and heat flux asymmetries for EAST H-mode discharges. [PDF]

Sci Rep, 2022
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  

Numerical investigation of nuclear fusion relevant plasmas in linear devices through the SOLPS-ITER code [PDF]

, 2019
LAUREA MAGISTRALEL’impiego di codici numerici sempre più sofisticati per simulare fenomeni fisici complessi come quelli che avvengono nel plasma di bordo in macchine a confinamento magnetico, sta trovando sempre più spazio nel contesto della ricerca ...
TONELLO, ELENA
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., Fil, A., Greenhouse, D., Harrison, J., Lipschultz, B., Verhaegh, K.   +5 more
core   +1 more source

Parametric study of hydrogenic inventory in the ITER divertor based on machine learning. [PDF]

Sci Rep, 2020
Delaporte-Mathurin R, Hodille E, Mougenot J, De Temmerman G, Charles Y, Grisolia C.   +5 more
europepmc   +1 more source

Towards self-consistent integrated modeling of the tokamak pedestal, scrape-off layer, and divertor using SOLPS-ITER and EPED

Nuclear Fusion
A predictive, self-consistent integrated model of the tokamak edge plasma and neutral system has been developed and validated against experimental data from DIII-D, spanning from the divertor target and scrape-off layer to the top of the pedestal.
R.S. Wilcox, J.M. Canik, J.M. Park, P.B. Snyder, M.W. Shafer, S. De Pascuale, D.C. Easley, A.W. Leonard, J.D. Lore, A.G. McLean, A.L. Moser, J.S. Park, H.Q. Wang   +12 more
doaj   +1 more source

Experiment-modeling studies comparing energy dissipation in the DIII-D SAS and SAS-VW divertors

Nuclear Materials and Energy
Recent DIII-D experiments on Small Angle Slot (SAS) divertors have confirmed that a combination of divertor closure and target shaping can enhance cooling across the divertor target and increase energy dissipation, but with significant dependence on BT ...
D.M. Thomas, T. Abrams, R. Ding, D. Donovan, F. Effenberg, J. Herfindal, A. Hyatt, A.W. Leonard, X. Ma, R. Maurizio, A.G. McLean, C. Murphy, J. Ren, M.W. Shafer, D. Truong, H.Q. Wang, J.G. Watkins, J.H. Yu   +17 more
doaj   +1 more source