Accelerating Machine Learning Research in Fusion Through a Pydantic‑Centred Human‑in‑the‑Loop Architecture
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Authors
- Saiful Khan (ORCID: https://orcid.org/0000-0002-6796-5670)
- Nathan Cummings (ORCID: https://orcid.org/0000-0003-4359-6337)
- S. Pamela (ORCID: https://orcid.org/0000-0001-8854-1749)
- R.O.S.S. da Costa (ORCID: https://orcid.org/0000-0001-6144-3356)
- Prakhar Sharma (ORCID: https://orcid.org/0000-0002-7635-1857)
- Joshua Blake (ORCID: https://orcid.org/0000-0001-7522-3741)
- Alejandra González-Beltrán (ORCID: https://orcid.org/0000-0003-3499-8262)
- Matthew Field (ORCID: https://orcid.org/0009-0004-1390-0697)
- Samuel Jackson (ORCID: https://orcid.org/0000-0001-5301-5095)
- Nitesh Bhatia (ORCID: https://orcid.org/0000-0003-1367-3477)
- Abdullah Saleem (ORCID: https://orcid.org/0009-0007-7944-1835)
Institutions
- Science and Technology Facilities Council (GB)
- United Kingdom Atomic Energy Authority (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-25
- DOI
- https://doi.org/10.5281/zenodo.22095083
- Primary Topic
- Magnetic confinement fusion research
- Type
- article
- Field-Weighted Citation Impact
- 0.00