Overview of new MAST physics in anticipation of first results from MAST Upgrade

JR Harrison, RJ Akers, SY Allan, JS Allcock… - Nuclear …, 2019 - iopscience.iop.org
The mega amp spherical tokamak (MAST) was a low aspect ratio device (R/a= 0.85/0.65~
1.3) with similar poloidal cross-section to other medium-size tokamaks. The physics …

Data-driven linear time advance operators for the acceleration of plasma physics simulation

S De Pascuale, DL Green, JD Lore - Physics of Plasmas, 2022 - pubs.aip.org
We demonstrate the application of data-driven linear operator construction for time advance
with a goal of accelerating plasma physics simulation. We apply dynamic mode …

Application of the parareal algorithm to simulations of ELMs in ITER plasma

D Samaddar, DP Coster, X Bonnin, LA Berry… - Computer Physics …, 2019 - Elsevier
This paper explores the application of the parareal algorithm to simulations of ELMs in ITER
plasma. The primary focus of this research is identifying the parameters that lead to optimum …

A stable parareal-like method for the second order wave equation

H Nguyen, R Tsai - Journal of Computational Physics, 2020 - Elsevier
A new parallel-in-time iterative method is proposed for solving the homogeneous second-
order wave equation. The new method involves a coarse scale propagator, allowing for …

[HTML][HTML] Parallel-in-time integration of kinematic dynamos

AT Clarke, CJ Davies, D Ruprecht… - Journal of computational …, 2020 - Elsevier
The precise mechanisms responsible for the natural dynamos in the Earth and Sun are still
not fully understood. Numerical simulations of natural dynamos are extremely …

Performance of parallel-in-time integration for Rayleigh Bénard convection

A Clarke, C Davies, D Ruprecht, S Tobias… - … and visualization in …, 2020 - Springer
Rayleigh–Bénard convection (RBC) is a fundamental problem of fluid dynamics, with many
applications to geophysical, astrophysical, and industrial flows. Understanding RBC at …

Image mapping the temporal evolution of edge characteristics in tokamaks using neural networks

V Gopakumar, D Samaddar - Machine Learning: Science and …, 2020 - iopscience.iop.org
We propose a method for data-driven modelling of the temporal evolution of the plasma and
neutral characteristics at the edge of a tokamak using neural networks. Our method …

[PDF][PDF] Accuracy-based simulation strategies for plasma edge simulations for nuclear fusion devices

K Ghoos - no. June, 2019 - lirias.kuleuven.be
Ik vergelijk mijn doctoraat soms met het doorkruisen van een bergketen, over hoge toppen
en langs lagere valleien. Ik begon eraan vol enthousiasme, zonder eindpunt in zicht en met …

[图书][B] Parallel-in-time methods for wave propagation in heterogeneous media

HH Nguyen - 2020 - search.proquest.com
Wave propagation is ubiquitous in science and engineering applications, but solving the
second-order wave equation in a parallel way is still computationally challenging …

[PDF][PDF] TIME-DEPENDENT SOLPS-ITER SIMULATIONS OF THE TOKAMAK PLASMA BOUNDARY FOR MODEL PREDICTIVE CONTROL

J Lore, S De Pascuale, P Laiu, JS Park, B Russo… - 2023 - osti.gov
Time-dependent SOLPS-ITER simulations of the tokamak boundary plasma response to gas
puffing and input power actuation are used to identify reduced models and develop model …