Saved in:
| Main Authors: | Travis, Phil, Carter, Troy |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.08645 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Turbulence and transport in mirror geometries in the Large Plasma Device
by: Travis, Phil, et al.
Published: (2024)
by: Travis, Phil, et al.
Published: (2024)
Machine-learned trends in mirror configurations in the Large Plasma Device
by: Travis, Phil, et al.
Published: (2025)
by: Travis, Phil, et al.
Published: (2025)
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)
Particle-based plasma simulation using a graph neural network
by: Mlinarević, Marin, et al.
Published: (2025)
by: Mlinarević, Marin, et al.
Published: (2025)
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)
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)
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)
Data-driven local operator finding for reduced-order modelling of plasma systems: I. Concept and verifications
by: Faraji, Farbod, et al.
Published: (2024)
by: Faraji, Farbod, 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)
Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers
by: Rodriguez-Fernandez, P., et al.
Published: (2023)
by: Rodriguez-Fernandez, P., et al.
Published: (2023)
Data-driven local operator finding for reduced-order modelling of plasma systems: II. Application to parametric dynamics
by: Faraji, Farbod, et al.
Published: (2024)
by: Faraji, Farbod, et al.
Published: (2024)
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)
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)
Surrogate models to optimize plasma assisted atomic layer deposition in high aspect ratio features
by: Yanguas-Gil, Angel, et al.
Published: (2025)
by: Yanguas-Gil, Angel, et al.
Published: (2025)
Physics-tailored machine learning reveals unexpected physics in dusty plasmas
by: Yu, Wentao, et al.
Published: (2023)
by: Yu, Wentao, 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)
An electric circuital analysis of laboratory plasma sheath fluctuations and propagations
by: Dutta, Subham, et al.
Published: (2025)
by: Dutta, Subham, et al.
Published: (2025)
Bayesian modelling of multiple plasma diagnostics at Wendelstein 7-X
by: Kwak, Sehyun, et al.
Published: (2021)
by: Kwak, Sehyun, et al.
Published: (2021)
EuroPED-NN: Uncertainty aware surrogate model
by: Alvarez, A. Panera, et al.
Published: (2024)
by: Alvarez, A. Panera, et al.
Published: (2024)
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)
FLARE: field line analysis and reconstruction for 3D plasma boundary modeling
by: Frerichs, H.
Published: (2024)
by: Frerichs, H.
Published: (2024)
Graph-based Neural Space Weather Forecasting
by: Holmberg, Daniel, et al.
Published: (2025)
by: Holmberg, Daniel, 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)
Pashen-Back effect for plasma diagnostics
by: Oganesyan, Koryun, et al.
Published: (2025)
by: Oganesyan, Koryun, et al.
Published: (2025)
A DC discharge plasma experiment for undergraduate laboratories
by: Chen, You-Hsuan, et al.
Published: (2025)
by: Chen, You-Hsuan, et al.
Published: (2025)
Proton deflectometry analysis in magnetized plasmas: magnetic field reconstruction in one dimension
by: Fox, W., et al.
Published: (2023)
by: Fox, W., et al.
Published: (2023)
Measurements of power dissipated in an atmospheric pressure plasma jet device with double plasma discharge ignition
by: Nascimento, Fellype do, et al.
Published: (2024)
by: Nascimento, Fellype do, et al.
Published: (2024)
Stochastic hierarchical data-driven optimization: application to plasma-surface kinetics
by: Afonso, José, et al.
Published: (2026)
by: Afonso, José, et al.
Published: (2026)
First results of multi‐fluid modeling of detached hydrogen plasmas in a linear plasma device using fluid code LINDA‐NU
by: Kento Sugiura, et al.
Published: (2024)
by: Kento Sugiura, et al.
Published: (2024)
Plasma Surrogate Modelling using Fourier Neural Operators
by: Gopakumar, Vignesh, et al.
Published: (2023)
by: Gopakumar, Vignesh, et al.
Published: (2023)
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)
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)
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)
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)
An Interpretable Operator-Learning Model for Electric Field Profile Reconstruction in Discharges Based on the EFISH Method
by: Yang, Zhijian, et al.
Published: (2025)
by: Yang, Zhijian, et al.
Published: (2025)
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)
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)
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)
Similar Items
-
Turbulence and transport in mirror geometries in the Large Plasma Device
by: Travis, Phil, et al.
Published: (2024) -
Machine-learned trends in mirror configurations in the Large Plasma Device
by: Travis, Phil, et al.
Published: (2025) -
Nonlinear Gaussian process tomography with imposed non-negativity constraints on physical quantities for plasma diagnostics
by: Ueda, Kenji, et al.
Published: (2024) -
Particle-based plasma simulation using a graph neural network
by: Mlinarević, Marin, et al.
Published: (2025) -
Learning the dynamics of a one-dimensional plasma model with graph neural networks
by: Carvalho, Diogo D, et al.
Published: (2023)