NSTX-U research advancing the physics of spherical tokamaks
JW Berkery, PO Adebayo-Ige, H Al Khawaldeh… - Nuclear …, 2024 - iopscience.iop.org
The objectives of NSTX-U research are to reinforce the advantages of STs while addressing
the challenges. To extend confinement physics of low-A, high beta plasmas to lower …
the challenges. To extend confinement physics of low-A, high beta plasmas to lower …
On the potential of physics-informed neural networks to solve inverse problems in tokamaks
Magnetic confinement nuclear fusion holds great promise as a source of clean and
sustainable energy for the future. However, achieving net energy from fusion reactors …
sustainable energy for the future. However, achieving net energy from fusion reactors …
Kinetic-ballooning-limited pedestals in spherical tokamak plasmas
A theoretical model is presented that for the first time matches experimental measurements
of the pedestal width-height Diallo scaling in the low-aspect-ratio high-β tokamak NSTX …
of the pedestal width-height Diallo scaling in the low-aspect-ratio high-β tokamak NSTX …
Surrogate models for plasma displacement and current in 3D perturbed magnetohydrodynamic equilibria in tokamaks
A numerical database of over one thousand perturbed three-dimensional (3D) equilibria has
been generated, constructed based on the MARS-F (Liu et al 2000 Phys. Plasmas 7 3681) …
been generated, constructed based on the MARS-F (Liu et al 2000 Phys. Plasmas 7 3681) …
[HTML][HTML] Augmenting machine learning of Grad–Shafranov equilibrium reconstruction with Green's functions
J McClenaghan, C Akçay, TB Amara, X Sun… - Physics of …, 2024 - pubs.aip.org
This work presents a method for predicting plasma equilibria in tokamak fusion experiments
and reactors. The approach involves representing the plasma current as a linear …
and reactors. The approach involves representing the plasma current as a linear …
Optimization of the equilibrium magnetic sensor set for the SPARC tokamak
Accurate reconstruction of the plasma equilibrium is imperative for successful operation of
the SPARC tokamak. In order to assess the expected reconstruction accuracy throughout the …
the SPARC tokamak. In order to assess the expected reconstruction accuracy throughout the …
Reconstruction of tokamak plasma safety factor profile using deep learning
The motional Stark effect (MSE) diagnostic has been a standard measurement for the
magnetic field line pitch angle in tokamaks that are equipped with neutral beams. However …
magnetic field line pitch angle in tokamaks that are equipped with neutral beams. However …
Impact of various DIII-D diagnostics on the accuracy of neural network surrogates for kinetic EFIT reconstructions
X Sun, C Akcay, TB Amara, SE Kruger, LL Lao… - Nuclear …, 2024 - iopscience.iop.org
Kinetic equilibrium reconstructions make use of profile information such as particle density
and temperature measurements in addition to magnetics data to compute a self-consistent …
and temperature measurements in addition to magnetics data to compute a self-consistent …
[HTML][HTML] EFIT-Prime: Probabilistic and physics-constrained reduced-order neural network model for equilibrium reconstruction in DIII-D
S Madireddy, C Akçay, SE Kruger, TB Amara… - Physics of …, 2024 - pubs.aip.org
We introduce EFIT-Prime, a novel machine learning surrogate model for EFIT (Equilibrium
FIT) that integrates probabilistic and physics-informed methodologies to overcome typical …
FIT) that integrates probabilistic and physics-informed methodologies to overcome typical …
[HTML][HTML] FreeGSNKE: A Python-based dynamic free-boundary toroidal plasma equilibrium solver
NC Amorisco, A Agnello, G Holt, M Mars… - Physics of …, 2024 - pubs.aip.org
We present a Python-based numerical solver for the two-dimensional dynamic plasma
equilibrium problem. We model the time evolution of toroidally symmetric free-boundary …
equilibrium problem. We model the time evolution of toroidally symmetric free-boundary …