physics.comp-ph · 2026-07-24 · No. 63

Computational Physics, 2026-07-24.

1 new papers in physics.comp-ph. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Cycle-Consistent and Uncertainty-Aware Neural Surrogates for Tokamak Edge Plasmas

    Abdourahmane Diaw, Sebastian De Pascuale, Jae-Sun Park, Ivan Paradela Perez, Jeremy D. Lore, Stefan Dasbach

    physics.comp-ph · cs.AI · physics.plasm-ph

    The boundary and divertor plasma govern how a tokamak exhausts power and particles, setting heat fluxes, target conditions, and the onset of detachment. Predicting these quantities is essential for operating current and future devices, but edge simulations that resolve them are too slow for parameter scans, optimization, or real-time control. Machine-learning surrogates offer a fast alternative, yet most are forward-only: they cannot recover...

    arxiv.org/abs/2607.21407 · PDF

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