@misc{indiciaeae742a8914d2,
  title = {HIPED: Machine learning framework for spherical tokamak pedestal prediction and optimization},
  author = {Parisi, Jason F. [Princeton Plasma Physics Laboratory (PPPL), Princeton, NJ (United States)] (ORCID:0000000313287154) and Clark, James G. [Princeton Plasma Physics Laboratory (PPPL), Princeton, NJ (United States)] (ORCID:0000000215782346) and Berkery, John W. [Princeton Plasma Physics Laboratory (PPPL), Princeton, NJ (United States)] (ORCID:0000000280623210) and Bowman, Christopher [United Kingdom Atomic Energy Authority (UKAEA), Abingdon (United Kingdom)] and Fitzpatrick, Collin J. [Princeton Plasma Physics Laboratory (PPPL), Princeton, NJ (United States); Harvey Mudd College, Claremont, CA (United States)] and Kaye, Stanley M. [Princeton Plasma Physics Laboratory (PPPL), Princeton, NJ (United States)] (ORCID:0000000225141163) and Lampert, Mate [Princeton Plasma Physics Laboratory (PPPL), Princeton, NJ (United States)] (ORCID:0000000284628799)},
  year = {2025},
  doi = {10.1088/1741-4326/ae27e7},
  url = {https://www.osti.gov/biblio/3007213},
  note = {Source identifier: 3007213}
}