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Journal Articles

Temperature prediction of high-temperature and high-enthalpy plasma generators based on machine learning

Yanan Xie, Qihao Jiang, Yiyang Gao, Yanming Liu, Qiang Wei

Phys. Plasmas 32, 013504 (2025)

https://doi.org/10.1063/5.0242129

Published: January 2025

View article titled, Temperature prediction of high-temperature and high-enthalpy plasma generators based on machine learning

Journal Articles

Neural network based fast prediction of double tearing modes in advanced tokamak plasmas

Jian Xu, Qibin Luan, Hui Li, Yumeng Chen, Zhengxiong Wang

Phys. Plasmas 31, 122113 (2024)

https://doi.org/10.1063/5.0229910

Published: December 2024

View article titled, Neural network based fast prediction of double tearing modes in advanced tokamak plasmas

Journal Articles

Sparsified time-dependent Fourier neural operators for fusion simulations

Mustafa Mutiur Rahman, Zhe Bai, Jacob Robert King, Carl R. Sovinec, Xishuo Wei, Samuel Williams, Yang Liu

Phys. Plasmas 31, 123902 (2024)

https://doi.org/10.1063/5.0232503

Published: December 2024

View article titled, Sparsified time-dependent Fourier neural operators for fusion simulations

Journal Articles

Deep learning via CNN for identification of blue core phenomenon in helicon plasma discharge

Xianyi Yin, Qinlong Song, Shiyang Cheng, Haibao Zhang

Phys. Plasmas 31, 123901 (2024)

https://doi.org/10.1063/5.0233814

Published: December 2024

View article titled, Deep learning via CNN for identification of blue core phenomenon in helicon plasma discharge

Journal Articles

Full information of system properties inferred from individual particle dynamics

Chen Liang, Dong Huang, Shaoyu Lu, Yan Feng

Phys. Plasmas 31, 113702 (2024)

https://doi.org/10.1063/5.0239733

Published: November 2024

View article titled, Full information of system properties inferred from individual particle dynamics

Journal Articles

Scientific machine learning based reduced-order models for plasma turbulence simulations

Constantin Gahr, Ionuţ-Gabriel Farcaş, Frank Jenko

Phys. Plasmas 31, 113904 (2024)

https://doi.org/10.1063/5.0225584

Published: November 2024

View article titled, Scientific machine learning based reduced-order models for plasma turbulence simulations

Journal Articles

Forming a database to study reversed magnetic shear from the National Spherical Torus eXperiment using machine learning

I. U. Uzun-Kaymak, E. L. Foley, M. E. Galante, F. M. Levinton

Phys. Plasmas 31, 112506 (2024)

https://doi.org/10.1063/5.0222490

Published: November 2024

View article titled, Forming a database to study reversed magnetic shear from the National Spherical Torus eXperiment using machine learning

Journal Articles

Integration of ML methods with CR model-based optical diagnostic for the estimation of electron temperature in Ga laser produced plasma

Indhu Suresh, P. S. N. S. R. Srikar, R. K. Gangwar

Phys. Plasmas 31, 113501 (2024)

https://doi.org/10.1063/5.0223030

Published: November 2024

View article titled, Integration of ML methods with CR model-based optical diagnostic for the estimation of electron temperature in Ga laser produced plasma

Journal Articles

ETHOS: An automated framework to generate multi-fidelity constitutive data tables and propagate uncertainties to hydrodynamic simulations

Lucas J. Stanek, William E. Lewis, Kyle R. Cochrane, Christopher A. Jennings, Michael P. Desjarlais, Stephanie B. Hansen

Phys. Plasmas 31, 102707 (2024)

https://doi.org/10.1063/5.0237197

Published: October 2024

View article titled, ETHOS: An automated framework to generate multi-fidelity constitutive data tables and propagate uncertainties to hydrodynamic simulations

Journal Articles

Deep learning based x-ray spectrometer for high repetition rate characterization of betatron radiation

N. F. Beier, V. Senthilkumaran, E. Kriz, S. Fourmaux, F. Légaré, T. Ma, A. E. Hussein

Phys. Plasmas 31, 103106 (2024)

https://doi.org/10.1063/5.0219183

Published: October 2024

View article titled, Deep learning based x-ray spectrometer for high repetition rate characterization of betatron radiation

Journal Articles

Shock Hugoniot calculations using on-the-fly machine learned force fields with ab initio accuracy

Shashikant Kumar, John E. Pask, Phanish Suryanarayana

Phys. Plasmas 31, 103901 (2024)

https://doi.org/10.1063/5.0230060

Published: October 2024

View article titled, Shock Hugoniot calculations using on-the-fly machine learned force fields with <em>ab initio</em> accuracy

Journal Articles

Data-driven prediction of scaling and ignition of inertial confinement fusion experiments

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

Phys. Plasmas 31, 092702 (2024)

https://doi.org/10.1063/5.0215962

Published: September 2024

View article titled, Data-driven prediction of scaling and ignition of inertial confinement fusion experiments

Journal Articles

EFIT-Prime: Probabilistic and physics-constrained reduced-order neural network model for equilibrium reconstruction in DIII-D

S. Madireddy, C. Akçay, S. E. Kruger, T. Bechtel Amara, X. Sun, J. McClenaghan, J. Koo, A. Samaddar, Y. Liu, P. Balaprakash, L. L. Lao

Phys. Plasmas 31, 092505 (2024)

https://doi.org/10.1063/5.0213609

Published: September 2024

View article titled, EFIT-Prime: Probabilistic and physics-constrained reduced-order neural network model for equilibrium reconstruction in DIII-D

Journal Articles

Phase retrieval for refraction-enhanced x-ray radiography using a deep neural network

S. Jiang, O. L. Landen, H. D. Whitley, S. Hamel, R. A. London, P. Sterne, S. B. Hansen, S. X. Hu, G. W. Collins, Y. Ping

Phys. Plasmas 31, 093901 (2024)

https://doi.org/10.1063/5.0211331

Published: September 2024

View article titled, Phase retrieval for refraction-enhanced x-ray radiography using a deep neural network

Journal Articles

Mining experimental magnetized liner inertial fusion data: Trends in stagnation morphology

William E. Lewis, David A. Yager-Elorriaga, Christopher A. Jennings, Jeffrey R. Fein, Gabriel A. Shipley, Andrew Porwitzky, Thomas J. Awe, Matthew R. Gomez, Eric C. Harding, Adam J. Harvey-Thompson, Patrick F. Knapp, Owen M. Mannion, Daniel E. Ruiz, Marc-Andre Schaeuble, Stephen A. Slutz, Matthew R. Weis, Jeffrey Woolstrum, David J. Ampleford, Luke Shulenburger

Phys. Plasmas 31, 082710 (2024)

https://doi.org/10.1063/5.0206222

Published: August 2024

View article titled, Mining experimental magnetized liner inertial fusion data: Trends in stagnation morphology

Journal Articles

Augmenting machine learning of Grad–Shafranov equilibrium reconstruction with Green's functions

J. McClenaghan, C. Akçay, T. B. Amara, X. Sun, S. Madireddy, L. L. Lao, S. E. Kruger, O. M. Meneghini

Phys. Plasmas 31, 082507 (2024)

https://doi.org/10.1063/5.0213625

Published: August 2024

View article titled, Augmenting machine learning of Grad–Shafranov equilibrium reconstruction with Green's functions

Journal Articles

A deep learning approach to fast analysis of collective Thomson scattering spectra

M. Pokornik, D. P. Higginson, G. Swadling, D. Larson, K. Moczulski, B. Pollock, E. Tubman, P. Tzeferacos, H. S. Park, F. Beg, A. Arefiev, M. Manuel

Phys. Plasmas 31, 072115 (2024)

https://doi.org/10.1063/5.0201148

Published: July 2024

View article titled, A deep learning approach to fast analysis of collective Thomson scattering spectra

Journal Articles

A Gaussian process based surrogate approach for the optimization of cylindrical targets

William P. Gammel, Joshua Paul Sauppe, Paul Bradley

Phys. Plasmas 31, 072705 (2024)

https://doi.org/10.1063/5.0204411

Published: July 2024

View article titled, A Gaussian process based surrogate approach for the optimization of cylindrical targets

Journal Articles

Toward machine-learning-assisted PW-class high-repetition-rate experiments with solid targets

Phys. Plasmas 31, 073105 (2024)

https://doi.org/10.1063/5.0190553

Published: July 2024

View article titled, Toward machine-learning-assisted PW-class high-repetition-rate experiments with solid targets

Journal Articles

X-point radiator and power exhaust control in configurations with multiple X-points in TCV

Phys. Plasmas 31, 072504 (2024)

https://doi.org/10.1063/5.0201401

Published: July 2024

View article titled, X-point radiator and power exhaust control in configurations with multiple X-points in TCV

NARROW

Topics

Temperature prediction of high-temperature and high-enthalpy plasma generators based on machine learning

Neural network based fast prediction of double tearing modes in advanced tokamak plasmas

Sparsified time-dependent Fourier neural operators for fusion simulations

Deep learning via CNN for identification of blue core phenomenon in helicon plasma discharge

Full information of system properties inferred from individual particle dynamics

Scientific machine learning based reduced-order models for plasma turbulence simulations

Forming a database to study reversed magnetic shear from the National Spherical Torus eXperiment using machine learning

Integration of ML methods with CR model-based optical diagnostic for the estimation of electron temperature in Ga laser produced plasma

ETHOS: An automated framework to generate multi-fidelity constitutive data tables and propagate uncertainties to hydrodynamic simulations

Deep learning based x-ray spectrometer for high repetition rate characterization of betatron radiation

Shock Hugoniot calculations using on-the-fly machine learned force fields with ab initio accuracy

Data-driven prediction of scaling and ignition of inertial confinement fusion experiments

EFIT-Prime: Probabilistic and physics-constrained reduced-order neural network model for equilibrium reconstruction in DIII-D

Phase retrieval for refraction-enhanced x-ray radiography using a deep neural network

Mining experimental magnetized liner inertial fusion data: Trends in stagnation morphology

Augmenting machine learning of Grad–Shafranov equilibrium reconstruction with Green's functions

A deep learning approach to fast analysis of collective Thomson scattering spectra

A Gaussian process based surrogate approach for the optimization of cylindrical targets

Toward machine-learning-assisted PW-class high-repetition-rate experiments with solid targets

X-point radiator and power exhaust control in configurations with multiple X-points in TCV

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