Using Deep Learning to Design High Aspect Ratio Fusion Devices
Fuente:
arXiv
Saved in:
| Main Authors: | Curvo, P., Ferreira, D. R., Jorge, R. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement Learning
by: Kim, Jinsu, et al.
Published: (2024)
by: Kim, Jinsu, et al.
Published: (2024)
TokaMind for Power Grid: Cross-Domain Transfer from Fusion Plasma
by: Wu, JC, et al.
Published: (2026)
by: Wu, JC, et al.
Published: (2026)
FusionMAE: large-scale pretrained model to optimize and simplify diagnostic and control of fusion plasma
by: Yang, Zongyu, et al.
Published: (2025)
by: Yang, Zongyu, et al.
Published: (2025)
Axisymmetric Coil Winding Surfaces for Non-Axisymmetric Fusion Devices
by: Biu, J., et al.
Published: (2025)
by: Biu, J., et al.
Published: (2025)
Data-Driven Approach to Model the Influence of Magnetic Geometry in the Confinement of Fusion Devices
by: Laia, R., et al.
Published: (2025)
by: Laia, R., et al.
Published: (2025)
TokEye: Fast Signal Extraction for Fluctuating Time Series via Offline Self-Supervised Learning From Fusion Diagnostics to Bioacoustics
by: Chen, Nathaniel, et al.
Published: (2026)
by: Chen, Nathaniel, et al.
Published: (2026)
Physics-informed Neural Operator Learning for Nonlinear Grad-Shafranov Equation
by: Ding, Siqi, et al.
Published: (2025)
by: Ding, Siqi, et al.
Published: (2025)
Human-in-the-Loop Meta Bayesian Optimization for Fusion Energy and Scientific Applications
by: Gutierrez, Ricardo Luna, et al.
Published: (2026)
by: Gutierrez, Ricardo Luna, et al.
Published: (2026)
Uncertainty Guided Online Ensemble for Non-stationary Data Streams in Fusion Science
by: Rajput, Kishansingh, et al.
Published: (2025)
by: Rajput, Kishansingh, et al.
Published: (2025)
Doubling Fusion Power with Volumetric Optimization in Magnetic Confinement Fusion Devices
by: Parisi, J. F., et al.
Published: (2024)
by: Parisi, J. F., et al.
Published: (2024)
AI-Driven Autonomous Control of Proton-Boron Fusion Reactors Using Backpropagation Neural Networks
by: Laurelli, Michele
Published: (2024)
by: Laurelli, Michele
Published: (2024)
Kinetic-Ballooning-Bifurcation in Tokamak Pedestals Across Shaping and Aspect-Ratio
by: Parisi, J. F., et al.
Published: (2023)
by: Parisi, J. F., et al.
Published: (2023)
First Access to ELM-free Negative Triangularity at Low Aspect Ratio
by: Nelson, A. O., et al.
Published: (2024)
by: Nelson, A. O., et al.
Published: (2024)
Deep Learning assisted microwave-plasma interaction based technique for plasma density estimation
by: Ghosh, Pratik, et al.
Published: (2023)
by: Ghosh, Pratik, et al.
Published: (2023)
Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas
by: Jalalvand, Azarakhsh, et al.
Published: (2024)
by: Jalalvand, Azarakhsh, et al.
Published: (2024)
Autoregressive long-horizon prediction of plasma edge dynamics
by: Csala, Hunor, et al.
Published: (2025)
by: Csala, Hunor, et al.
Published: (2025)
Challenges and opportunities for AI to help deliver fusion energy
by: Agnello, Adriano, et al.
Published: (2026)
by: Agnello, Adriano, et al.
Published: (2026)
Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems
by: Khrabry, Alexander, et al.
Published: (2025)
by: Khrabry, Alexander, et al.
Published: (2025)
TokaMark: A Comprehensive Benchmark for MAST Tokamak Plasma Models
by: Rousseau, Cécile, et al.
Published: (2026)
by: Rousseau, Cécile, et al.
Published: (2026)
Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence
by: Wang, Zixu, et al.
Published: (2025)
by: Wang, Zixu, et al.
Published: (2025)
PaMMA-Net: Plasmas magnetic measurement evolution based on data-driven incremental accumulative prediction
by: Ling, Yunfei, et al.
Published: (2025)
by: Ling, Yunfei, et al.
Published: (2025)
Plasma GraphRAG: Physics-Grounded Parameter Selection for Gyrokinetic Simulations
by: Zhang, Ruichen, et al.
Published: (2026)
by: Zhang, Ruichen, et al.
Published: (2026)
Direct Microstability Optimization of Stellarator Devices
by: Jorge, R., et al.
Published: (2023)
by: Jorge, R., et al.
Published: (2023)
Deep Wave Network for Modeling Multi-Scale Physical Dynamics
by: Khrabry, Alexander I., et al.
Published: (2026)
by: Khrabry, Alexander I., et al.
Published: (2026)
Hybrid Fourier Neural Operator-Plasma Fluid Model for Fast and Accurate Multiscale Simulations of High Power Microwave Breakdown
by: Pandya, Kalp, et al.
Published: (2025)
by: Pandya, Kalp, et al.
Published: (2025)
Burn Propagation in Magnetized High-Yield Inertial Fusion
by: O'Neill, S. T., et al.
Published: (2024)
by: O'Neill, S. T., et al.
Published: (2024)
High Gain Fusion Target Design using Generative Artificial Intelligence
by: Glinsky, Michael E.
Published: (2025)
by: Glinsky, Michael E.
Published: (2025)
Overview of the Helios Design: A Practical Planar Coil Stellarator Fusion Power Plant
by: Swanson, C. P. S., et al.
Published: (2025)
by: Swanson, C. P. S., et al.
Published: (2025)
Energetic Particle Tracing in Optimized Quasisymmetric Stellarator Equilibria
by: Figueiredo, P. A., et al.
Published: (2023)
by: Figueiredo, P. A., et al.
Published: (2023)
Uncertainty Quantification of Surrogate Models using Conformal Prediction
by: Gopakumar, Vignesh, et al.
Published: (2024)
by: Gopakumar, Vignesh, et al.
Published: (2024)
Improving ideal MHD equilibrium accuracy with physics-informed neural networks
by: Thun, Timo, et al.
Published: (2025)
by: Thun, Timo, et al.
Published: (2025)
Narrow Operator Models of Stellarator Equilibria in Fourier Zernike Basis
by: Thun, Timo, et al.
Published: (2025)
by: Thun, Timo, et al.
Published: (2025)
IDP-PGFE: An Interpretable Disruption Predictor based on Physics-Guided Feature Extraction
by: Shen, Chengshuo, et al.
Published: (2022)
by: Shen, Chengshuo, et al.
Published: (2022)
5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence
by: Galletti, Gianluca, et al.
Published: (2025)
by: Galletti, Gianluca, et al.
Published: (2025)
TokaMind: A Multi-Modal Transformer Foundation Model for Tokamak Plasma Dynamics
by: Boschi, Tobia, et al.
Published: (2026)
by: Boschi, Tobia, et al.
Published: (2026)
GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations
by: Paischer, Fabian, et al.
Published: (2025)
by: Paischer, Fabian, et al.
Published: (2025)
Towards Transparent and Accurate Plasma State Monitoring at JET
by: Bürli, Andrin, et al.
Published: (2025)
by: Bürli, Andrin, et al.
Published: (2025)
Learning Plasma Dynamics and Robust Rampdown Trajectories with Predict-First Experiments at TCV
by: Wang, Allen M., et al.
Published: (2025)
by: Wang, Allen M., et al.
Published: (2025)
Plasma potential shaping using end-electrodes in the Large Plasma Device
by: Gueroult, R., et al.
Published: (2024)
by: Gueroult, R., et al.
Published: (2024)
FUSE (Fusion Synthesis Engine): A Next Generation Framework for Integrated Design of Fusion Pilot Plants
by: Meneghini, O., et al.
Published: (2024)
by: Meneghini, O., et al.
Published: (2024)
Similar Items
-
Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement Learning
by: Kim, Jinsu, et al.
Published: (2024) -
TokaMind for Power Grid: Cross-Domain Transfer from Fusion Plasma
by: Wu, JC, et al.
Published: (2026) -
FusionMAE: large-scale pretrained model to optimize and simplify diagnostic and control of fusion plasma
by: Yang, Zongyu, et al.
Published: (2025) -
Axisymmetric Coil Winding Surfaces for Non-Axisymmetric Fusion Devices
by: Biu, J., et al.
Published: (2025) -
Data-Driven Approach to Model the Influence of Magnetic Geometry in the Confinement of Fusion Devices
by: Laia, R., et al.
Published: (2025)