An Interpretable Operator-Learning Model for Electric Field Profile Reconstruction in Discharges Based on the EFISH Method
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Zhijian, Sugeng, Edwin Setiadi, Alicherif, Mhedine, Chng, Tat Loon |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Toward Quantitative Electric-Field Measurements of Inception Clouds in Nanosecond Discharges Using E-FISH Assisted by Machine Learning
by: Alicherif, Mhedine, et al.
Published: (2026)
by: Alicherif, Mhedine, et al.
Published: (2026)
Plasma Surrogate Modelling using Fourier Neural Operators
by: Gopakumar, Vignesh, et al.
Published: (2023)
by: Gopakumar, Vignesh, et al.
Published: (2023)
Research on Surface Dispersed Discharge Plasma Based on Electric Field Control
by: Shuai Xu, et al.
Published: (2025)
by: Shuai Xu, et al.
Published: (2025)
Nonlinear Bayesian Doppler Tomography for Simultaneous Reconstruction of Flow and Temperature
by: Ueda, Kenji, et al.
Published: (2024)
by: Ueda, Kenji, et al.
Published: (2024)
Narrow Operator Models of Stellarator Equilibria in Fourier Zernike Basis
by: Thun, Timo, et al.
Published: (2025)
by: Thun, Timo, et al.
Published: (2025)
TGLF-WINN: Data-Efficient Deep Learning Surrogate for Turbulent Transport Modeling in Fusion
by: Cao, Yadi, et al.
Published: (2025)
by: Cao, Yadi, et al.
Published: (2025)
Plasma Shape Control via Zero-shot Generative Reinforcement Learning
by: Wu, Niannian, et al.
Published: (2025)
by: Wu, Niannian, 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)
The Machine Learning Approach to Moment Closure Relations for Plasma: A Review
by: Burles, Samuel, et al.
Published: (2025)
by: Burles, Samuel, et al.
Published: (2025)
Machine Learning-Integrated Hybrid Fluid-Kinetic Framework for Quantum Electrodynamic Laser Plasma Simulations
by: Saremi, Sadra, et al.
Published: (2025)
by: Saremi, Sadra, et al.
Published: (2025)
Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning
by: Wang, Allen M., et al.
Published: (2024)
by: Wang, Allen M., et al.
Published: (2024)
Discharge Behaviour of Highly Mixed Solid Media: Soil Point Discharge Propagation Model and Multiple Discharge Phenomenon
by: Yong Yang, et al.
Published: (2025)
by: Yong Yang, et al.
Published: (2025)
Machine Learning Applications to Computational Plasma Physics and Reduced-Order Plasma Modeling: A Perspective
by: Faraji, Farbod, et al.
Published: (2024)
by: Faraji, Farbod, et al.
Published: (2024)
Diffusion for Fusion: Designing Stellarators with Generative AI
by: Padidar, Misha, et al.
Published: (2025)
by: Padidar, Misha, et al.
Published: (2025)
Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks
by: Char, Ian, et al.
Published: (2024)
by: Char, Ian, et al.
Published: (2024)
Multiscale autonomous forecasting of plasma systems' dynamics using neural networks
by: Faraji, Farbod, et al.
Published: (2025)
by: Faraji, Farbod, et al.
Published: (2025)
ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks
by: Cadena, Santiago A., et al.
Published: (2025)
by: Cadena, Santiago A., et al.
Published: (2025)
Application of Neural Ordinary Differential Equations for ITER Burning Plasma Dynamics
by: Liu, Zefang, et al.
Published: (2024)
by: Liu, Zefang, et al.
Published: (2024)
Application of Neural Ordinary Differential Equations for Tokamak Plasma Dynamics Analysis
by: Liu, Zefang, et al.
Published: (2024)
by: Liu, Zefang, et al.
Published: (2024)
Nonlinear Gaussian process tomography with imposed non-negativity constraints on physical quantities for plasma diagnostics
by: Ueda, Kenji, et al.
Published: (2024)
by: Ueda, Kenji, et al.
Published: (2024)
Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device
by: Travis, Phil, et al.
Published: (2026)
by: Travis, Phil, et al.
Published: (2026)
Efficient dataset construction using active learning and uncertainty-aware neural networks for plasma turbulent transport surrogate models
by: Ho, Aaron, et al.
Published: (2025)
by: Ho, Aaron, et al.
Published: (2025)
PDE foundation model-accelerated inverse estimation of system parameters in inertial confinement fusion
by: Rautela, Mahindra, et al.
Published: (2026)
by: Rautela, Mahindra, et al.
Published: (2026)
How does ion temperature gradient turbulence depend on magnetic geometry? Insights from data and machine learning
by: Landreman, Matt, et al.
Published: (2025)
by: Landreman, Matt, et al.
Published: (2025)
Sensitivity Analysis of Transport and Radiation in NeuralPlasmaODE for ITER Burning Plasmas
by: Liu, Zefang, et al.
Published: (2025)
by: Liu, Zefang, et al.
Published: (2025)
Optimizing External Sources for Controlled Burning Plasma in Tokamaks with Neural Ordinary Differential Equations
by: Liu, Zefang, et al.
Published: (2025)
by: Liu, Zefang, et al.
Published: (2025)
Real-time virtual circuits for plasma shape control via neural network emulators
by: Ross, Alasdair, et al.
Published: (2026)
by: Ross, Alasdair, et al.
Published: (2026)
Transfer learning driven design optimization for inertial confinement fusion
by: Humbird, K. D., et al.
Published: (2022)
by: Humbird, K. D., et al.
Published: (2022)
Differentiable Programming for Computational Plasma Physics
by: McGreivy, Nick
Published: (2024)
by: McGreivy, Nick
Published: (2024)
EuroPED-NN: Uncertainty aware surrogate model
by: Alvarez, A. Panera, et al.
Published: (2024)
by: Alvarez, A. Panera, et al.
Published: (2024)
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)
Electrochemical Investigation of Plasma Channels During Hydraulic‐Electric Pulsed Discharges
by: Weiji Liu, et al.
Published: (2024)
by: Weiji Liu, et al.
Published: (2024)
Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement Learning
by: Kim, Jinsu, et al.
Published: (2024)
by: Kim, Jinsu, et al.
Published: (2024)
Learning the dynamics of a one-dimensional plasma model with graph neural networks
by: Carvalho, Diogo D, et al.
Published: (2023)
by: Carvalho, Diogo D, et al.
Published: (2023)
Learning collision operators from plasma phase space data using differentiable simulators
by: Carvalho, Diogo D., et al.
Published: (2026)
by: Carvalho, Diogo D., et al.
Published: (2026)
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)
Discharge and Gas Parameters Optimization for Toluene Degradation in a Perpendicular Magnetic Field‐Assisted Dielectric Barrier Discharge Reactor
by: Liang Qin, et al.
Published: (2024)
by: Liang Qin, et al.
Published: (2024)
Scientific Machine Learning Based Reduced-Order Models for Plasma Turbulence Simulations
by: Gahr, Constantin, et al.
Published: (2024)
by: Gahr, Constantin, et al.
Published: (2024)
Hierachical Multiscale Modeling of Positive Corona Discharges
by: Caliò, Giuseppe, et al.
Published: (2025)
by: Caliò, Giuseppe, et al.
Published: (2025)
Robust Confinement State Classification with Uncertainty Quantification through Ensembled Data-Driven Methods
by: Poels, Yoeri, et al.
Published: (2025)
by: Poels, Yoeri, et al.
Published: (2025)
Similar Items
-
Toward Quantitative Electric-Field Measurements of Inception Clouds in Nanosecond Discharges Using E-FISH Assisted by Machine Learning
by: Alicherif, Mhedine, et al.
Published: (2026) -
Plasma Surrogate Modelling using Fourier Neural Operators
by: Gopakumar, Vignesh, et al.
Published: (2023) -
Research on Surface Dispersed Discharge Plasma Based on Electric Field Control
by: Shuai Xu, et al.
Published: (2025) -
Nonlinear Bayesian Doppler Tomography for Simultaneous Reconstruction of Flow and Temperature
by: Ueda, Kenji, et al.
Published: (2024) -
Narrow Operator Models of Stellarator Equilibria in Fourier Zernike Basis
by: Thun, Timo, et al.
Published: (2025)