Image de couverture de livre

TokaMind for Power Grid: Cross-Domain Transfer from Fusion Plasma

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wu, JC, Lee, Norton, Chen, Kai Siang
Format:	Preprint
Publié:	2026
Sujets:	Plasma Physics Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

TokaMind: A Multi-Modal Transformer Foundation Model for Tokamak Plasma Dynamics
par: Boschi, Tobia, et autres
Publié: (2026)

TokaMark: A Comprehensive Benchmark for MAST Tokamak Plasma Models
par: Rousseau, Cécile, et autres
Publié: (2026)

FusionMAE: large-scale pretrained model to optimize and simplify diagnostic and control of fusion plasma
par: Yang, Zongyu, et autres
Publié: (2025)

Plasma GraphRAG: Physics-Grounded Parameter Selection for Gyrokinetic Simulations
par: Zhang, Ruichen, et autres
Publié: (2026)

Using Deep Learning to Design High Aspect Ratio Fusion Devices
par: Curvo, P., et autres
Publié: (2024)

PaMMA-Net: Plasmas magnetic measurement evolution based on data-driven incremental accumulative prediction
par: Ling, Yunfei, et autres
Publié: (2025)

Hybrid Fourier Neural Operator-Plasma Fluid Model for Fast and Accurate Multiscale Simulations of High Power Microwave Breakdown
par: Pandya, Kalp, et autres
Publié: (2025)

Towards Transparent and Accurate Plasma State Monitoring at JET
par: Bürli, Andrin, et autres
Publié: (2025)

5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence
par: Galletti, Gianluca, et autres
Publié: (2025)

GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations
par: Paischer, Fabian, et autres
Publié: (2025)

Human-in-the-Loop Meta Bayesian Optimization for Fusion Energy and Scientific Applications
par: Gutierrez, Ricardo Luna, et autres
Publié: (2026)

Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement Learning
par: Kim, Jinsu, et autres
Publié: (2024)

Uncertainty Guided Online Ensemble for Non-stationary Data Streams in Fusion Science
par: Rajput, Kishansingh, et autres
Publié: (2025)

Cross-scale Interaction between Microturbulence and Fishbone in Fusion Plasmas
par: Ma, Yuehao, et autres
Publié: (2025)

TokEye: Fast Signal Extraction for Fluctuating Time Series via Offline Self-Supervised Learning From Fusion Diagnostics to Bioacoustics
par: Chen, Nathaniel, et autres
Publié: (2026)

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence
par: Wang, Zixu, et autres
Publié: (2025)

TokaMaker: An open-source time-dependent Grad-Shafranov tool for the design and modeling of axisymmetric fusion devices
par: Hansen, C., et autres
Publié: (2023)

Bremsstrahlung Radiation Power in Fusion Plasmas Revisited: Towards Accurate Analytical Fitting
par: Xie, Huasheng
Publié: (2024)

Plasma Confinement State Classification in Fusion Power Plants: Profile Reflectometer and Ensemble Diagnostics
par: Clark, Randall, et autres
Publié: (2026)

Challenges and opportunities for AI to help deliver fusion energy
par: Agnello, Adriano, et autres
Publié: (2026)

Autoregressive long-horizon prediction of plasma edge dynamics
par: Csala, Hunor, et autres
Publié: (2025)

Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems
par: Khrabry, Alexander, et autres
Publié: (2025)

Physics-informed Neural Operator Learning for Nonlinear Grad-Shafranov Equation
par: Ding, Siqi, et autres
Publié: (2025)

Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas
par: Jalalvand, Azarakhsh, et autres
Publié: (2024)

Large-Angle Collisions in Burning Plasmas of Inertial Confinement Fusions
par: Xue, Y. H., et autres
Publié: (2024)

Learning Plasma Dynamics and Robust Rampdown Trajectories with Predict-First Experiments at TCV
par: Wang, Allen M., et autres
Publié: (2025)

AI-Driven Autonomous Control of Proton-Boron Fusion Reactors Using Backpropagation Neural Networks
par: Laurelli, Michele
Publié: (2024)

Inverse Rendering of Fusion Plasmas: Inferring Plasma Composition from Imaging Systems
par: Öztürk, Ekin, et autres
Publié: (2024)

Turbulent Nature of the Quasicontinuous Exhaust Regime for Fusion Plasmas
par: Zhang, Kaiyu, et autres
Publié: (2026)

Autoregressive Transformers for Disruption Prediction in Nuclear Fusion Plasmas
par: Spangher, Lucas, et autres
Publié: (2023)

Formation and Study of a Spherical Plasma Liner for Plasma-Jet-Driven Magneto-Inertial Fusion
par: LaJoie, A. L., et autres
Publié: (2024)

IDP-PGFE: An Interpretable Disruption Predictor based on Physics-Guided Feature Extraction
par: Shen, Chengshuo, et autres
Publié: (2022)

Three Dimensional Multiphysics Modelling of Helicon Wave Heating and Antenna Plasma Coupling for Boundary Density Control in Toroidal Fusion Plasmas
par: Zhou, Hua, et autres
Publié: (2026)

Re-acceleration of Energetic Ions via Small-Scale Reconnection in Magnetic Fusion Plasmas
par: Zhang, Cong, et autres
Publié: (2026)

Introduction to Stability and Turbulent Transport in Magnetic Confinement Fusion Plasmas
par: Parisi, J. F.
Publié: (2025)

An Exact Turbulence Law For the Fluid Description of Fusion Edge Plasmas
par: Scarivaglione, Luisa, et autres
Publié: (2025)

Spin Transport Hydrodynamics of Polarized Deuterium-Tritium Fusion Plasma
par: Hu, Ronghao, et autres
Publié: (2022)

Investigation of Laser Plasma Instabilities driven by Coupled High-Power Laser Beams in Magnetized Underdense Plasmas
par: Lacoste, C. L. C., et autres
Publié: (2026)

Nonlinear Energy Transfer Analysis in Developing Plasma Turbulence
par: Das, Sandip, et autres
Publié: (2026)

A Wave-Based Simulation Model for Cross-Beam Energy Transfer and Stimulated Brillouin Scattering in Laser-Plasma Systems
par: Chen, Y., et autres
Publié: (2024)