Works matching IS 08631042 AND DT 2023 AND VI 63 AND IP 5/6
Results: 15
Issue Information: Contrib. Plasma Phys. 06/2023.
- Published in:
- Contributions to Plasma Physics, 2023, v. 63, n. 5/6, p. 1, doi. 10.1002/ctpp.202390008
- Publication type:
- Article
Cover Picture: Contrib. Plasma Phys. 06/2023.
- Published in:
- Contributions to Plasma Physics, 2023, v. 63, n. 5/6, p. 1, doi. 10.1002/ctpp.202390007
- Publication type:
- Article
Special issue: Machine learning methods in plasma physics.
- Published in:
- Contributions to Plasma Physics, 2023, v. 63, n. 5/6, p. 1, doi. 10.1002/ctpp.202300060
- Publication type:
- Article
Iterative sampling of expensive simulations for faster deep surrogate training*.
- Published in:
- Contributions to Plasma Physics, 2023, v. 63, n. 5/6, p. 1, doi. 10.1002/ctpp.202200190
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- Publication type:
- Article
Two‐step clustering for data reduction combining DBSCAN and k‐means clustering.
- Published in:
- Contributions to Plasma Physics, 2023, v. 63, n. 5/6, p. 1, doi. 10.1002/ctpp.202200177
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- Publication type:
- Article
Dependent state space Student‐t processes for imputation and data augmentation in plasma diagnostics.
- Published in:
- Contributions to Plasma Physics, 2023, v. 63, n. 5/6, p. 1, doi. 10.1002/ctpp.202200175
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- Publication type:
- Article
Uncertainty quantification in three‐dimensional magnetohydrodynamic equilibrium reconstruction via surrogate‐assisted Bayesian inference.
- Published in:
- Contributions to Plasma Physics, 2023, v. 63, n. 5/6, p. 1, doi. 10.1002/ctpp.202200173
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- Publication type:
- Article
Real‐time estimation of the electron temperature profile in DIII‐D by leveraging neural‐network surrogate models.
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- Contributions to Plasma Physics, 2023, v. 63, n. 5/6, p. 1, doi. 10.1002/ctpp.202200153
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- Publication type:
- Article
Modification of a machine learning‐based semi‐empirical turbulent transport model for its versatility.
- Published in:
- Contributions to Plasma Physics, 2023, v. 63, n. 5/6, p. 1, doi. 10.1002/ctpp.202200152
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- Publication type:
- Article
Simultaneous inference of multiple plasma parameter profiles by utilizing transport properties.
- Published in:
- Contributions to Plasma Physics, 2023, v. 63, n. 5/6, p. 1, doi. 10.1002/ctpp.202200150
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- Publication type:
- Article
Multimodal convolutional neural networks for predicting evolution of gyrokinetic simulations.
- Published in:
- Contributions to Plasma Physics, 2023, v. 63, n. 5/6, p. 1, doi. 10.1002/ctpp.202200137
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- Publication type:
- Article
Implementation of AI/DEEP learning disruption predictor into a plasma control system.
- Published in:
- Contributions to Plasma Physics, 2023, v. 63, n. 5/6, p. 1, doi. 10.1002/ctpp.202200095
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- Publication type:
- Article
Study of the energy deposition of helicon plasmas driven by machine learning algorithms.
- Published in:
- Contributions to Plasma Physics, 2023, v. 63, n. 5/6, p. 1, doi. 10.1002/ctpp.202200060
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- Publication type:
- Article
Synthetic data generation using generative adversarial network for tokamak plasma current quench experiments.
- Published in:
- Contributions to Plasma Physics, 2023, v. 63, n. 5/6, p. 1, doi. 10.1002/ctpp.202200051
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- Publication type:
- Article
Symplectic model reduction methods for the Vlasov equation.
- Published in:
- Contributions to Plasma Physics, 2023, v. 63, n. 5/6, p. 1, doi. 10.1002/ctpp.202200046
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- Article