Imagen de Portada

Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Char, Ian, Chung, Youngseog, Abbate, Joseph, Kolemen, Egemen, Schneider, Jeff
Formato:	Preprint
Publicado:	2024
Materias:	Plasma Physics Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Combing physics-based and data-driven predictions for quantitatively accurate models that extrapolate well; with application to DIII-D, AUG, and ITER tokamak fusion reactors
por: Abbate, Joseph, et al.
Publicado: (2024)

Characterization of ELM Pacing via Vertical Jogs on DIII-D
por: Yasoda, Kei, et al.
Publicado: (2026)

Parallelized Real-time Physics Codes for Plasma Control on DIII-D
por: Rothstein, A., et al.
Publicado: (2025)

Regulation Compliant AI for Fusion: Real-Time Image Analysis-Based Control of Divertor Detachment in Tokamaks
por: Chen, Nathaniel, et al.
Publicado: (2025)

Enabling Integrated AI Control on DIII-D: A Control System Design with State-of-the-art Experiments
por: Rothstein, Andrew, et al.
Publicado: (2025)

FPGA-Accelerated Real-Time Diagnostics at DIII-D Using the SLAC Neural Network Library for ML Inference
por: Dave, Abhilasha, et al.
Publicado: (2026)

Design and Testing of Dimes Carbon Ablation Rods in the DIII-D Tokamak
por: Orlov, Dmitri M., et al.
Publicado: (2021)

FPGA-Accelerated Real-Time Beam Emission Spectroscopy Diagnostics at DIII-D Using the SLAC Neural Network Library for ML Inference
por: Dave, Abhilasha, et al.
Publicado: (2025)

Effect of insulator end cap thickness on time-dependent Hartmann flow in a rotating mirror
por: Gaur, Rahul, et al.
Publicado: (2024)

Offline Reinforcement Learning for Rotation Profile Control in Tokamaks
por: Sonker, Rohit, et al.
Publicado: (2026)

ELM-free Enhanced Dα H-mode with Near Zero NBI Torque Injection in DIII-D Tokamak
por: Macwan, T., et al.
Publicado: (2024)

Variability of MHD Instabilities in Benign Termination of High-Current Runaway Electron Beams in the JET and DIII-D Tokamaks
por: Zimmermann, C. F. B., et al.
Publicado: (2026)

Application of Neural Ordinary Differential Equations for Tokamak Plasma Dynamics Analysis
por: Liu, Zefang, et al.
Publicado: (2024)

Optimizing External Sources for Controlled Burning Plasma in Tokamaks with Neural Ordinary Differential Equations
por: Liu, Zefang, et al.
Publicado: (2025)

Broadening of the Divertor Heat Flux Profile in High Confinement Tokamak Fusion Plasmas with Edge Pedestals Limited by Turbulence in DIII-D
por: Ernst, D. R., et al.
Publicado: (2024)

Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning
por: Wang, Allen M., et al.
Publicado: (2024)

Revisiting confinement scalings and fusion performance with a perspective optimized for extrapolation
por: Butt, Jalal, et al.
Publicado: (2026)

Understanding Carbon Sourcing and Transport Originating from the Helicon Antenna Surfaces During High-Power Helicon Discharge in DIII-D Tokamak
por: Kumar, A., et al.
Publicado: (2026)

Extending near-axis equilibria in DESC
por: Panici, Dario, et al.
Publicado: (2025)

Spectrally accurate, reverse-mode differentiable bounce-averaging algorithm and its applications
por: Unalmis, Kaya E., et al.
Publicado: (2024)

TokaMind: A Multi-Modal Transformer Foundation Model for Tokamak Plasma Dynamics
por: Boschi, Tobia, et al.
Publicado: (2026)

Interpreting AI for Fusion: an application to Plasma Profile Analysis for Tearing Mode Stability
por: Farre-Kaga, Hiro J, et al.
Publicado: (2025)

Highest Fusion Performance without Harmful Edge Energy Bursts in Tokamak
por: Kim, SangKyeun, et al.
Publicado: (2024)

Deflation Techniques for Stellarator Equilibrium and Optimization
por: Panici, Dario, et al.
Publicado: (2026)

Characterization of the ELM-free Negative Triangularity Edge on DIII-D
por: Nelson, A. O., et al.
Publicado: (2024)

Plasma Performance and Operational Space without ELMs in DIII-D
por: Paz-Soldan, C.
Publicado: (2020)

Validation of NSFsim as a Grad-Shafranov Equilibrium Solver at DIII-D
por: Clark, Randall, et al.
Publicado: (2024)

Microtearing Thresholds and Second-Stable Ballooning in the DIII-D Pedestal: Reduced Modeling and Core-Edge Implications
por: Hatch, David R., et al.
Publicado: (2026)

Using Convolutional Neural Networks to detect Edge Localized Modes in DIII-D from Doppler Backscattering measurements
por: Teo, N. Q. X., et al.
Publicado: (2024)

Reconstruction-free magnetic control of DIII-D plasma with deep reinforcement learning
por: Subbotin, G. F., et al.
Publicado: (2025)

Divertor Detachment Characterization in Negative Triangularity Discharges in DIII-D via 2D Edge-Plasma Transport Modeling
por: Zhao, Menglong, et al.
Publicado: (2025)

Magnetic Fields with General Omnigenity
por: Dudt, Daniel W., et al.
Publicado: (2023)

A Brief Overlook on Magnetoplasmadynamic Thrusters
por: Gover, Egemen
Publicado: (2024)

Disentangling Core and Edge Mechanisms of the Density Limit in DIII-D Negative Triangularity Plasmas
por: Hong, R., et al.
Publicado: (2025)

Effects of Tungsten Radiative Cooling on Impurity, Heat and Momentum Transport in DIII-D Plasmas
por: Biwole, A. Tema, et al.
Publicado: (2026)

High Order Free Boundary MHD Equilibria in DESC
por: Conlin, Rory, et al.
Publicado: (2024)

FreeMHD: validation and verification of the open-source, multi-domain, multi-phase solver for electrically conductive flows
por: Wynne, Brian, et al.
Publicado: (2024)

TGLF-WINN: Data-Efficient Deep Learning Surrogate for Turbulent Transport Modeling in Fusion
por: Cao, Yadi, et al.
Publicado: (2025)

Modeling helium compression and enrichment in DIII-D edge plasmas using the SOLPS-ITER code
por: Masline, Rebecca, et al.
Publicado: (2025)

Operation above the Greenwald density limit in high performance DIII-D negative triangularity discharges
por: Sauter, O, et al.
Publicado: (2025)