Publications
2026
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Bayesian optimization of stellarator alpha-particle confinement using data-informed parameter spaces and dimensionality reduction
Submitted (2026)
@unpublished{landreman2026bayesian, author = {Landreman, Matt and Czekanski, Misha and Giuliani, Andrew and Jang, Byoungchan and Conlin, Rory}, title = {Bayesian optimization of stellarator alpha-particle confinement using data-informed parameter spaces and dimensionality reduction}, year = {2026}, eprint = {2606.19523} } -
Deflation techniques for stellarator equilibrium and optimization
Submitted (2026)
@unpublished{panici2026deflation, author = {Panici, Dario and Jang, Byoungchan and Conlin, Rory and Dudt, Daniel and Elmacioglu, Yigit G. and Kolemen, Egemen}, title = {Deflation techniques for stellarator equilibrium and optimization}, year = {2026}, eprint = {2602.09957} }
2025
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Exponential spectral scaling: robust and efficient stellarator boundary optimisation via mode-dependent scaling
Journal of Plasma Physics 92, E15 (2026)
@article{jang2026spectral, author = {Jang, Byoungchan and Landreman, Matt and Conlin, Rory}, title = {Exponential spectral scaling: robust and efficient stellarator boundary optimisation via mode-dependent scaling}, journal = {Journal of Plasma Physics}, volume = {92}, pages = {E15}, year = {2026}, doi = {10.1017/S0022377825101074}, eprint = {2509.16320} }
2024
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Grad–Shafranov equilibria via data-free physics-informed neural networks
Physics of Plasmas 31, 032510 (2024)
journal versionarXiv versioncode
@article{jang2024gspinn, author = {Jang, Byoungchan and Kaptanoglu, Alan A. and Gaur, Rahul and Pan, Shaowu and Landreman, Matt and Dorland, William}, title = {Grad–Shafranov equilibria via data-free physics-informed neural networks}, journal = {Physics of Plasmas}, volume = {31}, pages = {032510}, year = {2024}, doi = {10.1063/5.0188634}, eprint = {2311.13491}, note = {Code: https://github.com/byoungj/deepxde-gs} }
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