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

By:

Gaffney, Jim A.;
Humbird, Kelli;
Kruse, Michael;
Kur, Eugene;
Kustowski, Bogdan;
Nora, Ryan;
Spears, Brian

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

By:

Kremers, Bart J. J.;
Citrin, Jonathan;
Ho, Aaron;
van der Plassche, Karel L.

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

By:

Rath, Katharina;
Rügamer, David;
Bischl, Bernd;
von Toussaint, Udo;
Albert, Christopher G.

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

By:

Köberl, Robert;
von Toussaint, Udo;
Bungartz, Hans‐Joachim;
Schilling, Jonathan;
Albert, Christopher G.

Publication type:

Article

Real‐time estimation of the electron temperature profile in DIII‐D by leveraging neural‐network surrogate models.

Published in:

Contributions to Plasma Physics, 2023, v. 63, n. 5/6, p. 1, doi. 10.1002/ctpp.202200153

By:

Morosohk, Shira;
Schuster, Eugenio

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

By:

Narita, Emi;
Honda, Mitsuru;
Nakata, Motoki;
Hayashi, Nobuhiko;
Nakayama, Tomonari;
Yoshida, Maiko

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

By:

Nishizawa, Takashi

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

By:

Tang, William;
Dong, Ge;
Barr, Jayson;
Erickson, Keith;
Conlin, Rory;
Boyer, Dan;
Kates‐Harbeck, Julian;
Felker, Kyle;
Rea, Cristina;
Logan, Nikolas;
Svyatkovskiy, Alexey;
Feibush, Eliot;
Abbatte, Joseph;
Clement, Mitchell;
Grierson, Brian;
Nazikian, Raffi;
Lin, Zhihong;
Eldon, David;
Moser, Auna;
Maslov, Mikhail

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

By:

Cheng, Yuguo;
Xia, Guangqing;
Yang, Xiong

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

By:

Dave, Bhrugu;
Patel, Sarthak;
Shivani, Rishi;
Purohit, Shishir;
Chaudhury, Bhaskar

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

By:

Tyranowski, Tomasz M.;
Kraus, Michael

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

By:

Honda, Mitsuru;
Narita, Emi;
Maeyama, Shinya;
Watanabe, Tomo‐Hiko

Publication type:

Article